# 5 DevOps tips to help teams deliver software at scale

DevOps helps developers be more innovative, but there are real-world challenges for any organization trying to create a reliable practice. 

In this info sheet, explore actionable tips that high-performing organizations follow to maximize their investment in DevOps. Learn how to:

- Build a DevOps practice that fosters collaboration and prioritizes security.
- Speed up code delivery with the power of AI.
- Simplify your technology stack.


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There are real-world challenges for organizations seeking success in DevOps. In this info sheet, explore 5 DevOps tips to help teams deliver software at scale.

# 5 DevOps tips to help teams deliver software at scale

DevOps helps developers be more innovative, but there are real-world challenges for any organization trying to create a reliable practice. 

In this info sheet, explore actionable tips that high-performing organizations follow to maximize their investment in DevOps. Learn how to:
•	Build a DevOps practice that fosters collaboration and prioritizes security.
•	Speed up code delivery with the power of AI.
•	Simplify your technology stack.

There are real-world challenges for organizations seeking success in DevOps. In this info sheet,  explore 5 DevOps tips to help teams deliver software at scale.

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5 DevOps tips to help teams deliver software at scale – GitHub Resources

# AI-powered DevOps with GitHub and Azure

Infuse generative AI, best-in-class security, and cloud-native capabilities to your DevOps pipeline with the GitHub platform and Azure.

In this e-book, AI-powered DevOps with GitHub and Azure, learn how to drive efficiency, enhance security, and deliver value faster by:<br>
- Automating the mundane and working smarter with AI.<br>
- Protecting every line of code with integrated security.<br>
- Boosting productivity with built-in automation and CI/CD workflows.<br>
- Further elevating development teams with Azure knowledge bases.<br>

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Boost the productivity and time to value of your DevOps practice with the integrated AI and security capabilities of the GitHub platform with Azure integration.

# AI-powered DevOps with GitHub and Azure

Infuse generative AI, best-in-class security, and cloud-native capabilities to your DevOps pipeline with the GitHub platform and Azure.

In this e-book, AI-powered DevOps with GitHub and Azure, learn how to drive efficiency, enhance security, and deliver value faster by:

- Automating the mundane and working smarter with AI.
- Protecting every line of code with integrated security.
- Boosting productivity with built-in automation and CI/CD workflows.
- Further elevating development teams with Azure knowledge bases.


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# Ebook: AI-powered DevOps with GitHub

It’s no secret that DevOps helps organizations fuel developer innovation and deliver software faster. But now, development teams are leveling up their DevOps game with AI. Get the most out of DevOps, automate the mundane, and outpace your competitors with this transformative technology.

__In AI-powered DevOps with GitHub__, learn about ways to boost efficiency, enhance security, and deliver value faster with integrated AI and security capabilities in GitHub. 

Read this ebook to find out how to:
- Automate boring, repetitive tasks and work smarter with AI. 
- Protect every line of code from the inside out with advanced security. 
- Increase productivity and simplify processes with built-in automation and CI/CD workflows. 


Read this ebook to learn how to enhance security, boost productivity, and streamline your DevOps processes with AI and security capabilities in GitHub.

# Ebook: AI-powered DevOps with GitHub

It’s no secret that DevOps helps organizations fuel developer innovation and deliver software faster. But now, development teams are leveling up their DevOps game with AI. Get the most out of DevOps, automate the mundane, and outpace your competitors with this transformative technology.

In __AI-powered DevOps with GitHub__, learn about ways to boost efficiency, enhance security, and deliver value faster with integrated AI and security capabilities in GitHub. 

Read this ebook to find out how to:
- Automate boring, repetitive tasks and work smarter with AI. 
- Protect every line of code from the inside out with advanced security. 
- Increase productivity and simplify processes with built-in automation and CI/CD workflows. 


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 AI-powered DevOps with GitHub – GitHub Resources

__Session 1: Latest Innovations and Extensions Spotlight__
Your journey begins with the latest developments and enhancements available in GitHub Copilot. Learn how these new features can boost your productivity, streamline your workflow, and enhance your coding capabilities.

We'll also dive into the groundbreaking Copilot Extensions and Copilot Marketplace, hearing from the author of one of the very first available Copilot Extensions, "Octopus for GitHub Copilot".

__Session 2: Level up with GitHub Copilot Enterprise__
Unlock the full potential of AI-powered coding with GitHub Copilot Enterprise! Dive into the comprehensive suite of features designed to integrate seamlessly into your development workflow, maximizing efficiency and collaboration for teams of all sizes.

We'll also shine a spotlight on a customer success story, illustrating the tangible benefits and real-world impact of Copilot Enterprise in action.

__Session 3: The future of AI-assisted development__
For the final part of the journey, we turn our eyes to the future of AI-assisted development and consider what the future of AI and human ingenuity might look like. Hear from GitHub's Vice President of Product Management and the Head of Engineering at Commonwealth Bank as they share their perspectives on the challenges, opportunities and progress they see in the industry.


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GitHub Copilot is the world’s most widely adopted AI developer tool for organizations that innovate ahead of the curve. Begin your journey of discovery and hear from a wide range of industry experts from GitHub and beyond. Each session spotlights features and benefits of GitHub Copilot as well as real world applications.

__Session 1: Latest Innovations and Extensions Spotlight__
Your journey begins with the latest developments and enhancements available in GitHub Copilot. Learn how these new features can boost your productivity, streamline your workflow, and enhance your coding capabilities.

We'll also dive into the groundbreaking Copilot Extensions and Copilot Marketplace, hearing from the author of one of the very first available Copilot Extensions, "Octopus for GitHub Copilot."<br><br>

<div class="embed-responsive embed-responsive-16by9">
  <iframe src="https://www.youtube.com/embed/GWPfIWLczx0?si=7BUeMOVXgRNaDjPl" width="640" height="375" frameborder="0" allowfullscreen></iframe>
</div>

__Session 2: Level up with GitHub Copilot Enterprise__
Unlock the full potential of AI-powered coding with GitHub Copilot Enterprise! Dive into the comprehensive suite of features designed to integrate seamlessly into your development workflow, maximizing efficiency and collaboration for teams of all sizes.

We'll also shine a spotlight on a customer success story, illustrating the tangible benefits and real-world impact of Copilot Enterprise in action.

<div class="embed-responsive embed-responsive-16by9">
  <iframe src="https://www.youtube.com/embed/ZJmdFyumnkY?si=QS2oujTOlos2nwpG" width="640" height="375" frameborder="0" allowfullscreen></iframe>
</div>

__Session 3: The future of AI-assisted development__
For the final part of the journey, we turn our eyes to the future of AI-assisted development and consider what the future of AI and human ingenuity might look like. Hear from GitHub's Vice President of Product Management and the Head of Engineering at Commonwealth Bank as they share their perspectives on the challenges, opportunities and progress they see in the industry.

<div class="embed-responsive embed-responsive-16by9">
  <iframe src="https://www.youtube.com/embed/TMXXL9f8bak?si=gmFbsUwZJEPsiHnv" width="640" height="375" frameborder="0" allowfullscreen></iframe>
</div>

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Ignite your curiosity and fuel your passion for cutting-edge software development with this three-part learning journey

Working a few hours faster each day gives you back a few extra days each month or months each year. When this valuable time is applied to innovation, it leads to outstanding results. Join Alexander Androncik, Senior Director of Software Development at AMD, to hear more about AMD's journey with AI and how it improves the developer experience and helps find more time for developers to create tangible business value.

__Key takeaways:__

- Learn how AMD deployed and scaled AI capabilities, such as GitHub Copilot and autofix capabilities to thousands of developers.
- Explore how AMD implemented AI within GitHub Advanced Security to "get clean, and stay clean."
- Understand how AMD measures developer and business value across its engineering and IT orgs, including key metrics, results, and lessons learned.

The best companies and engineering teams focus on improving engineering efficiency to effectively defy time.



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  <iframe src="https://www.youtube.com/embed/z48AWzbXcJs" width="640" height="375" frameborder="0" allowfullscreen></iframe>
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Working a few hours faster each day gives you back a few extra days each month or months each year. When this valuable time is applied to innovation, it leads to outstanding results. Join Alexander Androncik, Senior Director of Software Development at AMD, to hear more about AMD's journey with AI and how it improves the developer experience and helps find more time for developers to create tangible business value.

__Key takeaways:__

- Learn how AMD deployed and scaled AI capabilities, such as GitHub Copilot and autofix capabilities to thousands of developers.
- Explore how AMD implemented AI within GitHub Advanced Security to "get clean, and stay clean."
- Understand how AMD measures developer and business value across its engineering and IT orgs, including key metrics, results, and lessons learned.

Resource Page for /artificial-intelligence/a-little-time-saved-goes-a-long-way-amds-ai-story

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A little time saved goes a long way: AMD’s AI story

In this webinar, James Governor, co-founder of Redmonk, will share his perspectives on the advantages of AI in software development. You’ll gain an understanding of the primary benefits of using AI coding tools, which include enhanced code quality, quicker onboarding with new codebases, improved security, and more. Eirini Kalliamvakou, Staff Researcher at GitHub, and Allison Weins, Staff Product Manager at GitHub, will also discuss how to develop organizational policies around generative AI. Learn effective frameworks and rollout strategies to support the adoption of enterprise-grade AI coding tools across your engineering teams.

Join this thought leadership webinar to explore the transformative role of generative AI in modern software development.

__Learn more about:__

- What the rise of generative AI actually means for developers and businesses.
- How AI is reshaping the traditional software development lifecycle, enhancing productivity, and accelerating release cycles.
- What enterprise development teams actually think about generative AI–the pros and the cons.
- Success stories with real-world examples of how AI-powered tools have helped companies overcome challenges and achieve new milestones.
- The future trajectory of generative AI in software development and how enterprises can prepare for upcoming changes.

AI has reigned as the topic of the day over the past two years. Its prevalence spans everything from billboards to executive briefings. And with tools like GitHub Copilot, it’s clear that generative AI is changing software development—but how? What do enterprise development teams think about generative AI? 

<div class="embed-responsive embed-responsive-16by9">
  <iframe src="https://play.vidyard.com/TRuMeyZL9tVY8TZj9Kyq4B" width="640" height="375" frameborder="0" allowfullscreen></iframe>
</div>

In this webinar, James Governor, co-founder of Redmonk, will share his perspectives on the advantages of AI in software development. You’ll gain an understanding of the primary benefits of using AI coding tools, which include enhanced code quality, quicker onboarding with new codebases, improved security, and more. Eirini Kalliamvakou, staff researcher at GitHub, will also discuss how to develop organizational policies around generative AI. Learn effective frameworks and rollout strategies to support the adoption of enterprise-grade AI coding tools across your engineering teams.

Join this thought leadership webinar to explore the transformative role of generative AI in modern software development.

__Learn more about:__

- What the rise of generative AI actually means for developers and businesses.
- How AI is reshaping the traditional software development lifecycle, enhancing productivity, and accelerating release cycles.
- What enterprise development teams actually think about generative AI–the pros and the cons.
- Success stories with real-world examples of how AI-powered tools have helped companies overcome challenges and achieve new milestones.
- The future trajectory of generative AI in software development and how enterprises can prepare for upcoming changes.

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Adopting Generative AI in Software Development

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You remain in control as you move between tasks, specs, plans, and code. Join GitHub's Chris Reddington, Senior Program Manager of DevRel, and Cole Bemis, Research Engineer on GitHub Next, for an introduction to Copilot Workspace, a Copilot-native dev environment launched in April 2024 by GitHub Next. 
Watch the video to learn how Copilot Workspace works, how we got here, and what we've learned so far from the technical preview.


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Wondering how GitHub can help your business?

Whether you’re addressing an issue, iterating on a pull request, or bootstrapping a project, GitHub Copilot Workspace helps jumpstart your tasks by describing what you want in natural language.

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How GitHub Next took Copilot Workspace from concept to code

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In this session, gain insights from a chief information officer, chief legal officer, and chief revenue officer on designing and executing a clear AI roadmap that drives adoption, supports compliance, and delivers strong ROI. Learn how JPMorgan Chase built an AI strategy rooted in delivering a world-class developer experience with GitHub Copilot to accelerate developer velocity and create value.

AI is quickly becoming essential for enterprises to drive growth and achieve business goals. However, companies in regulated industries face additional complexities when scaling AI.

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Unlocking AI at scale: Crafting a compliant and high-impact AI strategy

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Published via [GitHub Executive Insights](https://github.com/solutions/executive-insights "Executive insights, curated just for you")
## AI accelerates more than just developer productivity

Since the general availability of our [AI assistant in GitHub's support portal in February 2024](https://github.blog/news-insights/product-news/copilot-in-github-support-is-now-available/), 60% of the cases presented to it were resolved, with the majority being solved in under 7 minutes. This investment is part of GitHub's commitment to leveraging AI across the Software Development Lifecycle - including crucial moments when engineers need support! Let's take a look at how engineers at GitHub used AI within our support business to better serve our customers.

## How GitHub improved customer support with AI

__Primary goal__

-   Improve GitHub's customer support experience by leveraging automation powered by AI.

__Support Portal Reach__

-   GitHub serves a global community of over 100 million developers. GitHub's [support portal](https://support.github.com) assists an average of 178,000 customers each month with product and support-related questions.

__Key objectives__

-   Enhance responsiveness.

-   Increase customer satisfaction.

-   Allow the support team to focus on more complex and long standing issues.

__Specific focus__

Streamline the resolution of level 1 support queries by making known solutions easily discoverable, providing customers with a more direct and efficient route to resolution.

__What was done__

To achieve these objectives, we developed and implemented an AI-powered conversational assistant. This assistant is designed to autonomously address routine inquiries, providing immediate assistance and surfacing known solutions more effectively for our customers. The model is grounded to GitHub's extensive product documentation, helping ensure that the AI provides accurate and relevant guidance based on our existing knowledge bases. Our development and deployment process was underpinned by [Microsoft Responsible AI principles](https://www.microsoft.com/en-au/ai/responsible-ai?ef_id=_k_CjwKCAjw3P-2BhAEEiwA3yPhwB3LqV50_7LnWPLwGDTFbovX-xSKxgnIs_zXWcnpmt6HW0162H2wVRoCHbgQAvD_BwE_k_&OCID=AIDcmmgp5f6cxq_SEM__k_CjwKCAjw3P-2BhAEEiwA3yPhwB3LqV50_7LnWPLwGDTFbovX-xSKxgnIs_zXWcnpmt6HW0162H2wVRoCHbgQAvD_BwE_k_&gad_source=1&gclid=CjwKCAjw3P-2BhAEEiwA3yPhwB3LqV50_7LnWPLwGDTFbovX-xSKxgnIs_zXWcnpmt6HW0162H2wVRoCHbgQAvD_BwE)

By integrating AI into this process, we aimed to reduce the number of steps and overall process friction that customers often face, while simultaneously allowing our support team to apply their expertise to more complex cases that require human ingenuity and deeper investigation.

The AI-powered conversational assistant was seamlessly embedded into the support portal as a fully optional feature where customers could choose to interact with the assistant if they desired. Those who opted to engage with the AI-assistant received immediate assistance. Additionally, customers were encouraged to provide feedback on their experience, helping us continuously improve the tool and better serve their needs.

__Impact of the AI-assistant__

Since the [General Availability (GA) release in February 2024](https://github.blog/news-insights/product-news/copilot-in-github-support-is-now-available/), 60% of the cases presented to it were resolved, with the majority being solved in under 7 minutes. This is equivalent to over 20,000 customers having their problems solved through Generative AI.

By resolving these queries, the AI assistant has allowed our support team to focus on more complex customer questions, where their expertise can have the most impact. We have seen customer trust and satisfaction in the system grow through increased usage since general availability.

__Future implementations__

GitHub support's AI assistant has been deployed into Copilot chat on GitHub.com. [This capability](https://docs.github.com/en/enterprise-cloud@latest/copilot/using-github-copilot/asking-github-copilot-questions-in-githubcom#currently-available-skills) helps GitHub users access product & support related information whilst remaining within their workflow.

We are currently developing further AI capabilities tailored specifically for our internal support team, aiming to further enhance their ability to deliver exceptional customer service. This tool will provide intelligent suggestions, assist with routine task automation, and offer quick access to relevant information, enabling our support staff to manage their workflow more effectively and address complex inquiries with greater ease. We are also planning to expand the knowledge base for the AI-assistant and refine its response capabilities to better handle a wider range of inquiries.

## Insights Gained

__The power of tailored AI experiences__

Throughout the development and deployment of the AI assistant, one significant lesson learned was the importance of tailoring experiences. Our engineers discovered that by optimizing the AI assistant based on customer queries---through tailored responses and context-specific guidance---we could significantly enhance its relevance and effectiveness across a broad range of use cases. For instance, developers and admins often require different types of support, and we've built the system to adapt accordingly. By taking into account the size and complexity of the user, we enable the AI assistant to deliver personalized assistance that addresses the specific needs of each user.

__Expanding innovation beyond productivity__

Another key takeaway is the potential for AI to drive innovation beyond just enhancing productivity. We encourage engineers to experiment with AI, pushing the boundaries of what's possible. Consider new ways in which AI could be leveraged to achieve novel customer and business outcomes, such as creating more personalized customer experiences. By thinking creatively about the possibilities, engineers can support their organizations to unlock new value and opportunities that go beyond the traditional scope of support automation. This proactive approach to exploring the capabilities of AI not only enhances customer satisfaction but also positions your organization to lead in their respective fields, using AI as a powerful tool for innovation.

## How to enhance your organization with AI

Bring a customer-centric approach to engineering with AI:

1.  Identify a customer pain point that may benefit from the power of AI.

2.  Define the benefits you want to deliver to your customer and any disbenefits you want to avoid and evaluate different AI solutions to address the customer pain point. Ensure you plan for tracking customer feedback and whether the solution is achieving the desired benefits.

3.  __Customize and implement your AI solution.__ Based on your evaluation, consider an initial high-level architecture proposal. It can be useful to undertake a proof of concept (POC) to test your proposal for the likelihood of meeting the target benefits. If your POC is promising, move into building for production ensuring ongoing testing as you build and that you meet any of your internal development processes and requirements. Once you have finished development and completed any release activities required by the team/organization, deploy to a small number of customers for initial feedback.

4.  __Review and iterate.__ Regularly collect feedback from your customers and internal stakeholders and scale your deployment of the solution as you grow confidence. Use feedback to refine the solution continuously, enhancing its effectiveness and ensuring it continues to deliver value.

## Looking forward to the possibilities ahead for GitHub Support

As we continue to refine and expand the usage of AI in GitHub Support, we are excited about the broader possibilities it presents for enhancing various aspects of our services. The success of AI in handling level 1 support queries has demonstrated the potential of automation to not only improve responsiveness and customer satisfaction but also to empower our support team to tackle more complex challenges.

Looking ahead, we see significant opportunities to extend the capabilities of AI in the realm of customer success:

- __Product usage guidance.__ AI could be adapted to assist users in navigating and utilizing GitHub's features more effectively. By offering real-time guidance and tips based on user behavior and context, AI could enhance the overall user experience, helping customers unlock the full potential of our platform.
- __Support data analytics.__ We envision AI playing a crucial role in support data analytics, where it can help identify common issues, trends, and patterns. This data-driven approach can provide valuable insights to both our support and product development teams, leading to proactive improvements in our products and services that directly benefit our customers. We recently published a [blog post](https://github.blog/ai-and-ml/machine-learning/how-github-harnesses-ai-to-transform-customer-feedback-into-action/) on how we harness AI to transform customer feedback into action.
- __Training and onboarding.__ Beyond supporting the support team, AI can be instrumental in the training and onboarding of new team members across the organization. By providing instant access to a wealth of knowledge, best practices, and contextual guidance, AI can help new employees quickly become productive, accelerating their integration into the team.

In conclusion, AI gives engineers an unprecedented opportunity to enhance both customer and business outcomes in an organization. GitHub will continue to explore these possibilities and collaborate closely with developers, and customers to ensure that AI continues to evolve and meet the ever-changing needs. If you haven't yet, try GitHub's Support AI-assistant by visiting the GitHub Support Portal and entering your query in the search bar. We value your feedback and would love for you to be part of this exciting journey as we continue to improve how we serve our community.

Want to learn more about the strategic role of AI and other innovations at GitHub? Explore [Executive Insights](https://github.com/solutions/executive-insights) for more leadership perspectives and thought leadership on the future of technology and business.

Will you join the call to use AI to accelerate your organization's success? The journey ahead is full of potential, and we are excited to realize these opportunities together.

GitHub Copilot empowers engineers to help their organizations achieve better business outcomes for their customers. But AI doesn't simply help engineers do the same work more quickly; it can help them get to places they haven't been able to get to before! We're excited to share how our GitHub customer success team has been using AI to better serve our customers.


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GitHub case study: Enhancing customer support with AI

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## The GitHub Copilot Impact Glossary
This glossary lists a number of measures that an organization can use to help evaluate the impact of Copilot for their organization. Learn:
- Definitions and caveats related to measures
- When (which stage) to use a measure
- How to access a measure (source data location)

For more information on GitHub’s approach to measuring Copilot Impact, check out our [GitHub Copilot Learning Pathway](https://resources.github.com/learn/pathways/copilot/essentials/measuring-the-impact-of-github-copilot/).

Remember 😀: The relevance and usefulness of system-level speed and quality measures vary across organizations. Any Copilot impact beyond coding is indirect, and the downstream possibilities are endless. Thus, we must be careful when searching for causality in speed and quality measures. 

The metrics provided below are representative of processes that often improve with Copilot, but the degree of impact will vary. Based on the strengths and weaknesses of your organization, the impact may be more or less. It's less important to achieve a benchmark than to observe neutral-to-positive improvement. Engineering leaders should only be concerned if a metric regresses. In that case, pause to determine the root cause before proceeding.

### Tips: 
- GitHub recommends looking for improvements in each measure over time rather than setting fixed targets.
- We suggest aligning measurement frequency with your development cadence (e.g. sprint cycles).
- You may choose to collate your data points into existing BI or reporting tools for ease of analysis and review over time for trends. Alternatively, use a spreadsheet to track measures over time.
- As you add developers to Copilot you may see a decrease in some measures as those developers build capability and confidence in using Copilot as part of their daily flow. Consider analyzing measurements according to onboarding groups (set of developers provided with a Copilot seat).
- You may choose to monitor some DevOps metrics over the evaluation and adoption stages for early indicators of likely system- impact areas. But particularly in the evaluation and adoptions stages, we recommend focusing on happiness and engagement measures. Once developers are using Copilot effectively, system level measures are more likely to improve. 

### Category legend:
Developer Happiness - 😃 <br />
Developer Engagement - 👩‍💻<br />
Speed - 🏎️ <br />
Quality - ✨

<table>
    <tr>
        <th>Measure</th>
        <th>Definition</th>
        <th>Stage</th>
        <th>Source data location</th>
    </tr>
    <tr>
        <td>Satisfaction using Copilot - 😃</td>
        <td>Number of Copilot users who value Copilot in their workflow.</td>
        <td>All</td>
        <td>Copilot Impact Survey:<br />• How would you feel if you could no longer use Copilot?</td>
    </tr>
    <tr>
        <td>Benefits of using Copilot - 👩‍💻</td>
        <td>Range of areas in which users leverage Copilot and the range/extent of benefits experienced.</td>
        <td>All</td>
        <td>Copilot Impact Survey:<br />• When using Copilot, I…<br />• When using Copilot, my team…<br />• In using Copilot in the last week…<br />• I use GitHub Copilot to…</td>
    </tr>
    <tr>
        <td>Challenges using Copilot - 👩‍💻</td>
        <td>Number of users impacted by potential adoption barriers.</td>
        <td>All</td>
        <td>Copilot Impact Survey:<br />• What challenges have you encountered during your Copilot trial?</td>
    </tr>
    <tr>
        <td>Enablement provided - 👩‍💻</td>
        <td>Number of users with a seat who have received enablement resources/training sessions.</td>
        <td>All</td>
        <td>Copilot Impact Survey:<br />• Which of the following GitHub Copilot enablement materials have you received?</td>
    </tr>
    <tr>
        <td>Average Daily Active Users per Month - Completions - 👩‍💻</td>
        <td>Users who have received 1+ suggestions on a given day.</td>
        <td>All</td>
        <td>Copilot Metrics API:<br />• Take average of Active Users - Completions from API, over 28 days</td>
    </tr>
    <tr>
        <td>Average Daily Active Users - Chat - 👩‍💻</td>
        <td>Users who have 1+ chats on a given day.</td>
        <td>All</td>
        <td>Copilot Metrics API:<br />• Take average of Active Users - Chats from API, over 28 days</td>
    </tr>
    <tr>
        <td>Average Daily Active Users - Total - 👩‍💻</td>
        <td>Unique users who have received and accepted 1+ suggestions OR participated in 1+ chats on a given day.</td>
        <td>All</td>
        <td>Copilot Metrics API:<br />• Take average of Active Users - Total from API, over 28 days</td>
    </tr>
    <tr>
        <td>Suggestions Delivered - Completions - 👩‍💻</td>
        <td>Number of suggestions per day displayed in the code editor for Copilot completions in IDE.</td>
        <td>All</td>
        <td>Copilot Metrics API:<br />• Number of Suggestions</td>
    </tr>
    <tr>
        <td>Number of Acceptances - Completions - 👩‍💻</td>
        <td>Number of suggestions accepted (total of both partial and full) per day.</td>
        <td>All</td>
        <td>Copilot Metrics API:<br />• Number of Chat/code acceptances</td>
    </tr>
    <tr>
        <td>Lines of Code Accepted - Completions - 👩‍💻</td>
        <td>Lines of code accepted (total of both partial and full) accepted per day</td>
        <td>All</td>
        <td>Copilot Metrics API:<br />• Lines of Code Accepted - Completions</td>
    </tr>
    <tr>
        <td>Total Acceptance rate - Completions - 👩‍💻</td>
        <td>Suggestions Accepted (Combined: Full and Partial) / Total Number of Suggestions</td>
        <td>All</td>
        <td>Manual calculation (based on Copilot Metrics API):<br />• Number of Suggestions &<br />• Number of Acceptances</td>
    </tr>
    <tr>
        <td>New seats added in billing cycle - 👩‍💻</td>
        <td>Additional seats purchased for organizational members during this billing cycle</td>
        <td>Adopt, Optimize, Sustain</td>
        <td>Billing and plans (Copilot) (organizational settings)<br />• New seats added during this billing cycle</td>
    </tr>
    <tr>
        <td>Dormant users - 👩‍💻</td>
        <td>Number of users who last used Copilot more than ‘n’ days ago</td>
        <td>Adopt, Optimize, Sustain</td>
        <td>Copilot Access Management (organizational settings):<br />• Sort by last used</td>
    </tr>
    <tr>
        <td>Total completed pull requests - 🏎️</td>
        <td>Total number of pull requests completed in a given week</td>
        <td>Adopt, Optimize, Sustain</td>
        <td>GitHub PRs list (in a repo) can be filtered on closed PRs for a time period</td>
    </tr>
    <tr>
        <td>Pull requests per developer - 🏎️</td>
        <td>Number of pull requests / code contributors</td>
        <td>Adopt, Optimize, Sustain</td>
        <td>Manual calculation:<br />• GitHub PRs list (in a repo) can be filtered on closed PRs for a time period &<br />• Your organization's data on developers contributing to repo</td>
    </tr>
    <tr>
        <td>Time to merge - 🏎️</td>
        <td>Average time from PR opened to merge</td>
        <td>Adopt, Optimize, Sustain</td>
        <td>GitHub: calculation requires consideration of your organization's GitHub set-up</td>
    </tr>
    <tr>
        <td>PR lead time - 🏎️</td>
        <td>Average time from PR opened to deploy</td>
        <td>Adopt, Optimize, Sustain</td>
        <td>GitHub Actions: calculation requires consideration of your organization's GitHub set-up</td>
    </tr>
    <tr>
        <td>Code Review Time - 🏎️</td>
        <td>Average code review time per pull request (time between PR opened to PR closed)</td>
        <td>Adopt, Optimize, Sustain</td>
        <td>GitHub: calculation requires consideration of your organization's GitHub set-up</td>
    </tr>
  <tr>
        <td>Pull request merge rate - ✨</td>
        <td>Total number of successful builds completed in a given week.</td>
        <td>Adopt, Optimize, Sustain</td>
        <td>GitHub: GitHub PRs list (in a repo): The number of PRs merged / The number of PRs submitted</td>
    </tr>
    <tr>
        <td>Total successful builds - ✨</td>
        <td>The percentage of pull requests successfully merged</td>
        <td>Adopt, Optimize, Sustain</td>
        <td>GitHub Actions: calculation requires consideration of your organization's GitHub set-up</td>
    </tr>
    <tr>
        <td>Change failure rate - ✨</td>
        <td>Percentage of code deployments that caused a failure in production</td>
        <td>Adopt, Optimize, Sustain</td>
        <td>Calculation requires consideration of your organization's GitHub set-up and integration with third-party apps</td>
    </tr>
    <tr>
        <td>Open security vulnerabilities - ✨</td>
        <td>Number of unresolved vulnerabilities as identified by GHAS</td>
        <td>Adopt, Optimize, Sustain</td>
        <td><a href="https://docs.github.com/en/enterprise-cloud@latest/code-security/security-overview/viewing-security-insights-for-your-organization#autofix-suggestions">Organizational-level security insights</a></td>
    </tr>
    <tr>
        <td>CI success rate - ✨</td>
        <td>Number of successful CI runs inclusive of test automation / Number of attempted CI runs</td>
        <td>Adopt, Optimize, Sustain</td>
        <td>Calculation requires consideration of your organization's GitHub set-up and integration with third-party apps</td>
    </tr>
</table>


We recommend to first focus on your developers’ adoption and engagement with Copilot. Then, harness developers’ improved productivity to pursue the engineering system improvements that matter most to your organization.

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Resource Page for /artificial-intelligence/how-to-measure-github-copilot-impact

Glossary: Measuring the impact of GitHub Copilot

During the webinar, Richard Erwin, Principal Solutions Engineer at GitHub, showcased Copilot's advanced features, constant evolution, and practical applications. We’ll start with a high-level understanding of GitHub Copilot, and then dive deeper to show practical tips that can boost your productivity and improve your code quality thanks to key feature demos.

Learn more about:
- How GitHub Copilot uses an advanced language model trained on public code to assist with secure coding across multiple platforms.
- How to evaluate GitHub Copilot’s value based on developer time, potential time-saving, and overall developer satisfaction.
- Tips on installation and using Copilot for pull requests, summary notes, repository queries, and more.
- Enterprise-level features, such as how to set policies around how GitHub Copilot is used in your organization.

*https://github.blog/news-insights/research/research-quantifying-github-copilots-impact-in-the-enterprise-with-accenture/ 


Designed and backed by the leaders in AI, GitHub Copilot is an AI pair programmer that helps developers write code faster and smarter. GitHub Copilot supports multiple languages across the developer workflow. GitHub Copilot’s powerful features have been proven to help developers code up to 55% faster*, accelerate the pace of software development, and enhance the developer experience. 

<div class="embed-responsive embed-responsive-16by9">
  <iframe src="https://www.youtube.com/embed/giPoDt_Ujzo" width="640" height="375" frameborder="0" allowfullscreen></iframe>
</div>

During the webinar, Richard Erwin, Principal Solutions Engineer at GitHub, showcased Copilot's advanced features, constant evolution, and practical applications. We’ll start with a high-level understanding of GitHub Copilot, and then dive deeper to show practical tips that can boost your productivity and improve your code quality thanks to key feature demos.

Learn more about:
- How GitHub Copilot uses an advanced language model trained on public code to assist with secure coding across multiple platforms.
- How to evaluate GitHub Copilot’s value based on developer time, potential time-saving, and overall developer satisfaction.
- Tips on installation and using Copilot for pull requests, summary notes, repository queries, and more.
- Learn about enterprise-level features, such as how to set policies around how GitHub Copilot is used in your organization.

*https://github.blog/news-insights/research/research-quantifying-github-copilots-impact-in-the-enterprise-with-accenture/ 


Resource Page for /artificial-intelligence/introduction-to-github-copilot

CO-GHAI-CNTNT-FY25-01Jan-23-Intro-to-GitHub-Copilot-8292

Introduction to GitHub Copilot

<div class="embed-responsive embed-responsive-16by9">
  <iframe src="https://www.youtube.com/embed/e1kdkKDXmiM" width="640" height="375" frameborder="0" allowfullscreen></iframe>
</div>

Join our partner Adobe and GitHub's Shuyin Zhao, VP of product management, and Simina Pasat, senior director of product management, to see all the latest Copilot innovations. You'll also learn how collaboration in GitHub.com is getting better with the power of AI agents and how you can use new, optimized workflows in the age of AI.

Developers and enterprises adopting AI coding assistants expect these tools to be increasingly accurate and personalized to their needs. GitHub Copilot is leading the charge, delivering major improvements in code suggestion quality, enhanced customization via fine-tuned models, and building a growing ecosystem with extensions.

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GitHub Copilot: Leading the AI revolution in software development

<div class="embed-responsive embed-responsive-16by9">
  <iframe src="https://www.youtube.com/embed/QKkhS-yUF_g" width="640" height="375" frameborder="0" allowfullscreen></iframe>
</div>

Join GitHub's Senior DevOps Architect, Kitty Chiu, and Staff DevOps Architect, Mickey Gousset, for a walk through the Copilot Metrics API. You'll learn how to tell your Copilot-powered productivity story and get additional support and investment from the business.

Developers using GitHub Copilot know its value, but how do you show that value to get continued buy-in from the business? How do you know if you're measuring what matters most, and how do you use those metrics to craft a story for executives? If these questions keep you up at night, this session is for you.

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Resource Page for /artificial-intelligence/measure-the-effectiveness-of-github-copilot

How to measure the effectiveness of GitHub Copilot

This session will delve into real-world applications and a future where AI fortifies defenses and helps preemptively identify and mitigate emerging threats. This session is designed for developers, security experts, and executives alike.

Key takeaways:

- __Key Takeaway 1__: Turn "I don't know what I don't know" into a firm grasp of current challenges in application security.
- __Key Takeaway 2__: Walk away with an understanding of how AI and GitHub can help solve current challenges in application security.
- __Key Takeaway 3__: Learn actionable next steps to apply AI to your application security using GitHub.

AI is far from reaching its peak in application security. How GitHub applies AI to help streamline remediation and enhance alert interpretability.

<div class="embed-responsive embed-responsive-16by9">
  <iframe src="https://www.youtube.com/embed/xvDzKXASPSI" width="640" height="375" frameborder="0" allowfullscreen></iframe>
</div>

This session will delve into real-world applications and a future where AI fortifies defenses and helps preemptively identify and mitigate emerging threats. This session is designed for developers, security experts, and executives alike.

Key takeaways:

- __Key Takeaway 1__: Turn "I don't know what I don't know" into a firm grasp of current challenges in application security.
- __Key Takeaway 2__: Walk away with an understanding of how AI and GitHub can help solve current challenges in application security.
- __Key Takeaway 3__: Learn actionable next steps to apply AI to your application security using GitHub.

Resource Page for /artificial-intelligence/mission-copilot-autofix-securing-the-worlds-software

CO-GHS-CNTNT-FY25-12Dec-26-On-demand-Mission-Copilot-Autofix-8191 / 466749

Mission Copilot Autofix: Securing the world's software

So, you believe you've done everything necessary for your GitHub Copilot launch:

- Secured management approval (after only 37 PowerPoint slides)... check!
- Obtained the budget (and made some serious concessions with Finance)... check!
- Addressed an extensive array of security inquiries... check!
- Purchased the licenses (farewell, coffee fund)... check!
- Prepared to allocate licenses to your team (best of luck to them)... check!

We appear ready for liftoff... or are we? Hold on a moment! Before you venture into the Copilot universe, let's ensure no critical pre-launch procedures have been overlooked. Even NASA meticulously double-checks before liftoff.

Prepare for your final countdown with these five essential preflight checks. They will help guide you not only in leaving the launchpad but in achieving a successful GitHub Copilot deployment. After all, the only thing more challenging than a failed launch is justifying to management why your code isn't auto-generating yet.

So, fasten your seatbelt, review our checklist, and get ready to elevate your engineering practice to new heights!

For a comprehensive guide, download our eBook now.


Embarking on a successful GitHub Copilot launch requires meticulous planning and execution. 


Resource Page for /artificial-intelligence/scaling-github-copilot-across-your-organization

Taking GitHub Copilot to the stars, not just the skies

/artificial-intelligence/what-ai-means-for-the-future-of-devops

/artificial-intelligence/what-ai-means-for-the-future-of-devops River

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/artificial-intelligence/what-is-ai-code-generation/ Prose intro

/artificial-intelligence/what-is-ai-code-generation/ Prose - how

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/artificial-intelligence/what-is-ai-code-generation/ FAQ

/artificial-intelligence/what-is-ai-code-generation/

In our "What’s new with GitHub Copilot" session, our experts will introduce the latest advancements in GitHub Copilot. From enhanced code recommendations to refined models, discover how Copilot is transforming software development. Learn from our speakers, C.J Williams, Product Manager at GitHub, and Philip Holleran, Field CTO, AMER, at GitHub, about all the latest announcements from Universe and dive into topics such as security alerts, AI-enhanced feature management, and improving API development with custom Copilot Extensions.

__What we will cover:__

- The latest tools available to developers within GitHub Copilot and their functionalities.
- GitHub’s future vision and how the developer community can shape Copilot's evolution.
- Tips and tricks to enhance coding efficiency and accuracy with best practices.
- Practical advice for maximizing Copilot’s capabilities through real-world examples.

Don't miss this opportunity to streamline your processes and accelerate your development to stay at the forefront of coding innovation. 

Integrated within your IDE or on GitHub.com, Copilot is designed to enhance your workflow, with GitHub continually rolling out new capabilities to elevate your experience. We invite you to join our exciting webinar, "What's New for GitHub Copilot"! Whether you're an experienced developer or new to AI-assisted coding, our packed agenda is crafted to inspire and educate. 


In our "What’s new with GitHub Copilot" session, our experts will introduce the latest advancements in GitHub Copilot. From enhanced code recommendations to refined models, discover how Copilot is transforming software development. Learn from our speakers, C.J Williams, Product Manager at GitHub, and Philip Holleran, Field CTO, AMER, at GitHub, about all the latest announcements from Universe and dive into topics such as security alerts, AI-enhanced feature management, and improving API development with custom Copilot Extensions.

<iframe width="680" height="382" src="https://www.youtube.com/embed/GiYJ-hCPNQE?si=4x0KLvJcOtsaMl7l" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>

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Resource Page for /artificial-intelligence/whats-new-with-github-copilot

CO-GHAI-WBNR-FY25-10Oct-24-Whats-New-with-GitHub-Copilot-Gated-Webinar / 458659

What’s new with GitHub Copilot

This talk with Henrik Boettcher, Tech Lead of Development Platforms at ZEISS, will cover the company’s shift from a hardware-centric firm to a software-driven enterprise, highlighting ZEISS’ experience on GitHub Enterprise Cloud. He’ll discuss how ZEISS uses GitHub Enterprise Cloud to enhance developer collaboration, code quality, and security, as one of the first customers to adopt GitHub's new data residency feature. He’ll also detail migration strategies for moving from existing code management systems to GitHub, which has increased developer agility.

__Key takeaways:__

- Gain insight into how ZEISS transformed from a traditional optics company to a leader in optoelectronics through strategic software development and partnerships.
- Learn the practical steps ZEISS took to migrate from conventional code management systems to GitHub Enterprise Cloud, enhancing collaboration and code quality.
- Discover why GitHub Enterprise Cloud has been instrumental in helping Zeiss increase developer agility and drive technological evolution.

Founded in 1846, Carl Zeiss AG (ZEISS) has seen many cycles of transformation over the years as it's become a global technology leader in the fields of optics and optoelectronics.


<div class="embed-responsive embed-responsive-16by9">
  <iframe src="https://www.youtube.com/embed/qxOKVov3W08" width="640" height="375" frameborder="0" allowfullscreen></iframe>
</div>

This talk with Henrik Boettcher, Tech Lead of Development Platforms at ZEISS, will cover the company’s shift from a hardware-centric firm to a software-driven enterprise, highlighting ZEISS’ experience on GitHub Enterprise Cloud. He’ll discuss how ZEISS uses GitHub Enterprise Cloud to enhance developer collaboration, code quality, and security, as one of the first customers to adopt GitHub's new data residency feature. He’ll also detail migration strategies for moving from existing code management systems to GitHub, which has increased developer agility.

__Key takeaways:__

- Gain insight into how ZEISS transformed from a traditional optics company to a leader in optoelectronics through strategic software development and partnerships.
- Learn the practical steps ZEISS took to migrate from conventional code management systems to GitHub Enterprise Cloud, enhancing collaboration and code quality.
- Discover why GitHub Enterprise Cloud has been instrumental in helping Zeiss increase developer agility and drive technological evolution.

Resource Page for /artificial-intelligence/zeiss-journey-github-enterprise-cloud

CO-GHP-CNTNT-FY25-01Jan-16-Ondemand-Video-Zeiss-8154 / 468340

Zeiss's journey on GitHub Enterprise Cloud: From optical precision to digital excellence

If you'd like to attend Copilot Fridays live and make the most of the opportunity to chat with our GitHub experts, [you can register and see the full list of upcoming topics here.](https://github.registration.goldcast.io/series/ff0939de-f20a-4395-80ff-4bc606e356fd "Register for GitHub Copilot Fridays")

---

__Prompt Fundamentals | Friday 1st November__<br>
Improve the quality of your prompts to maximize the efficiency and capabilities of GitHub Copilot. Learn best practices for crafting clear, concise, and context-rich prompts that can help Copilot generate more accurate, useful code suggestions that lead to enhanced productivity in software development.<br>
<br>__[Complete the form below to access the recording](https://resources.github.com/copilot-fridays-english-on-demand/#form)__<br><br>

---
__GitHub Copilot for MLOps/Data Scientists | Friday 15th November__<br>
In this session, we will explore GitHub Copilot as an AI pair programmer, focusing on its applications for machine learning engineers and data scientists. Through hands-on demonstrations, we will use Copilot to assist in data processing tasks, including data cleaning, feature extraction, and then walk through training a machine learning model and documenting the entire workflow. Participants will see how GitHub Copilot can accelerate development, reduce code complexity, and enhance productivity in machine learning workflows.<br>
<br>__[Complete the form below to access the recording](https://resources.github.com/copilot-fridays-english-on-demand/#form)__<br><br>

---

__GitHub Copilot for Infrastructure Engineers | Friday 29th November__<br>
Explore how GitHub Copilot can revolutionize the way infrastructure engineers design, deploy, and manage cloud environments and on-premises systems. This session will dive into practical applications, showcasing how Copilot assists with writing Infrastructure as Code (IaC), automating repetitive tasks, and enhancing collaboration through intelligent code suggestions. Attendees will gain insights into integrating Copilot into their workflows to improve efficiency, reduce errors, and accelerate project timelines.
<br>
<br>__[Complete the form below to access the recording](https://resources.github.com/copilot-fridays-english-on-demand/#form)__<br><br>

---

__Using GitHub Enterprise Managed Users (EMU) to setup & manage your Copilot users | Friday 13 December__<br>
Achieve enhanced security through integration with identity providers such as Entra ID and Okta using the Enterprise Managed Users feature, and utilization of GitHub Copilot. Hear an overview of the Enterprise Managed Users feature, including how to start using it, and the setup procedure for GitHub Copilot.  
<br>
<br>
__[Complete the form below to access the recording](https://resources.github.com/copilot-fridays-english-on-demand/#form)__<br><br>

--- 
__Accelerate developer onboarding using GitHub Copilot | Friday 10 January__<br>
Dive into the transformative power of using AI to streamline the onboarding process for developers. Discover how GitHub Copilot can revolutionize your first steps into a new repository, helping you swiftly summarise issues, analyse pull requests, and grasp the essentials of any new development project you are about to embark on. This session is packed with insights and practical tips that ensure developers hit the ground running, reducing ramp-up time and boosting productivity from day one. 
<br>
<br>
__[Complete the form below to access the recording](https://resources.github.com/copilot-fridays-english-on-demand/#form)__<br><br>

--- 
__GitHub Copilot for SQL Database Developers | Friday 24 January__<br>
This session will give an overview of how GitHub Copilot can be used in the context of SQL database developers and ETL integrations that are being developed in the form of SQL scripts, stored procedures, or internal functions. 
<br>
<br>
__[Complete the form below to access the recording](https://resources.github.com/copilot-fridays-english-on-demand/#form)__<br><br>

--- 
__GitHub Copilot and GitHub Actions, a perfect pairing | Friday 7 February__<br>
Discover how GitHub Copilot enhances GitHub Actions by simplifying workflow creation, troubleshooting, and optimization.

In this session, you'll see how GitHub Copilot can generate Actions workflows from natural language prompts, incorporate advanced triggers and conditions, and help identify and resolve failures more efficiently. You'll also learn how to optimize workflows for better reusability and maintainability while leveraging reusable workflows and custom actions within your organization. Watch as Copilot automates everything from simple issue creation to complex CI/CD pipelines and multi-environment deployments, transforming the way you manage DevOps automation.  
<br>
<br>
__[Complete the form below to access the recording](https://resources.github.com/copilot-fridays-english-on-demand/#form)__<br><br>

--- 
__From hype to productivity: Copilot Metrics that matter (Part 1) | Friday 21 February__<br>
This session offers an opinion on how to demonstrate Copilot value and get continual buy-in from businesses. GitHub has Copilot Metrics APIs, but we need to measure and tell story on what matters to get executive support. The goal with this session is to introduce and demo the Copilot Metrics API, and to discuss other items that should be tracked or monitored that show Copilot success, and what don’t exist in the Metrics API.  
<br>
<br>
RECORDING COMING SOON, [REGISTER TO ATTEND THE LIVE BROADCAST](https://github.registration.goldcast.io/series/ff0939de-f20a-4395-80ff-4bc606e356fd "Register for GitHub Copilot Fridays")

--- 

Every two weeks, our GitHub experts will explore specific topic, use-case or persona based demonstrations so you can get the most valuable information for your needs. Check back regularly for the latest recordings!

If you'd like to attend Copilot Fridays live and make the most of the opportunity to chat with our GitHub experts, [you can register and see the full list of upcoming topics here.](https://github.registration.goldcast.io/series/ff0939de-f20a-4395-80ff-4bc606e356fd "Register for GitHub Copilot Fridays")

---

__Prompt Fundamentals | Friday 1st November__<br>
Improve the quality of your prompts to maximize the efficiency and capabilities of GitHub Copilot. Learn best practices for crafting clear, concise, and context-rich prompts that can help Copilot generate more accurate, useful code suggestions that lead to enhanced productivity in software development.<br>

<div class="embed-responsive embed-responsive-16by9">
  <iframe src="https://www.youtube.com/embed/TGfbvYcw2V4?si=aFnXHslgWN2pNg5p" width="640" height="375" frameborder="0" allowfullscreen></iframe>
</div>

<br>
<br>

---

__GitHub Copilot for MLOps/Data Scientists | Friday 15th November__<br>
In this session, we will explore GitHub Copilot as an AI pair programmer, focusing on its applications for machine learning engineers and data scientists. Through hands-on demonstrations, we will use Copilot to assist in data processing tasks, including data cleaning, feature extraction, and then walk through training a machine learning model and documenting the entire workflow. Participants will see how GitHub Copilot can accelerate development, reduce code complexity, and enhance productivity in machine learning workflows.<br>

<div class="embed-responsive embed-responsive-16by9">
  <iframe src="https://www.youtube.com/embed/Fk0PuRv4quM?si=oJbtWmpFbJCGFF-8" width="640" height="375" frameborder="0" allowfullscreen></iframe>
</div>
<br>

---

__GitHub Copilot for Infrastructure Engineers | Friday 29th November__<br>
Explore how GitHub Copilot can revolutionize the way infrastructure engineers design, deploy, and manage cloud environments and on-premises systems. This session will dive into practical applications, showcasing how Copilot assists with writing Infrastructure as Code (IaC), automating repetitive tasks, and enhancing collaboration through intelligent code suggestions. Attendees will gain insights into integrating Copilot into their workflows to improve efficiency, reduce errors, and accelerate project timelines.<br>

<div class="embed-responsive embed-responsive-16by9">
  <iframe src="https://www.youtube.com/embed/_7K3YM8Rftw?si=LAV4PYbpSKMrxTul" width="640" height="375" frameborder="0" allowfullscreen></iframe>
</div>
<br>
<br>

---

__Using GitHub Enterprise Managed Users (EMU) to setup & manage your Copilot users | Friday 13 December__<br>
Achieve enhanced security through integration with identity providers such as Entra ID and Okta using the Enterprise Managed Users feature, and utilization of GitHub Copilot. Hear an overview of the Enterprise Managed Users feature, including how to start using it, and the setup procedure for GitHub Copilot.  
<br>
<div class="embed-responsive embed-responsive-16by9">
  <iframe src="https://www.youtube.com/embed/GgUrlWvRqIA?si=PCfvcwpCw_o7_I95" width="640" height="375" frameborder="0" allowfullscreen></iframe>
</div>
<br>
<br>

--- 
__Accelerate developer onboarding using GitHub Copilot | Friday 10 January__<br>
Dive into the transformative power of using AI to streamline the onboarding process for developers. Discover how GitHub Copilot can revolutionize your first steps into a new repository, helping you swiftly summarise issues, analyse pull requests, and grasp the essentials of any new development project you are about to embark on. This session is packed with insights and practical tips that ensure developers hit the ground running, reducing ramp-up time and boosting productivity from day one. 
<br>
<div class="embed-responsive embed-responsive-16by9">
  <iframe src="https://www.youtube.com/embed/cv9HpKeGYO4?si=p7eGGU76G4tfrjYf" width="640" height="375" frameborder="0" allowfullscreen></iframe>
</div>
<br>
<br>

--- 
__GitHub Copilot for SQL Database Developers | Friday 24 January__<br>
This session will give an overview of how GitHub Copilot can be used in the context of SQL database developers and ETL integrations that are being developed in the form of SQL scripts, stored procedures, or internal functions. 
<br>
<div class="embed-responsive embed-responsive-16by9">
  <iframe src="https://www.youtube.com/embed/qrlM7gTQPcU?si=qoewpLspz5WiCopz" width="640" height="375" frameborder="0" allowfullscreen></iframe>
</div>
<br>
<br>

--- 
__GitHub Copilot and GitHub Actions, a perfect pairing | Friday 7 February__<br>
Discover how GitHub Copilot enhances GitHub Actions by simplifying workflow creation, troubleshooting, and optimization.

In this session, you'll see how GitHub Copilot can generate Actions workflows from natural language prompts, incorporate advanced triggers and conditions, and help identify and resolve failures more efficiently. You'll also learn how to optimize workflows for better reusability and maintainability while leveraging reusable workflows and custom actions within your organization. Watch as Copilot automates everything from simple issue creation to complex CI/CD pipelines and multi-environment deployments, transforming the way you manage DevOps automation. 
<br>
<div class="embed-responsive embed-responsive-16by9">
  <iframe src="https://www.youtube.com/embed/8TdJTv2-1QY?si=H26nlD-VHos6B8XE" width="640" height="375" frameborder="0" allowfullscreen></iframe>
</div>
<br>
<br>

--- 

__From hype to productivity: Copilot Metrics that matter (Part 1) | Friday 21 February__<br>
This session offers an opinion on how to demonstrate Copilot value and get continual buy-in from businesses. GitHub has Copilot Metrics APIs, but we need to measure and tell story on what matters to get executive support. The goal with this session is to introduce and demo the Copilot Metrics API, and to discuss other items that should be tracked or monitored that show Copilot success, and what don’t exist in the Metrics API.  
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RECORDING COMING SOON, [REGISTER TO ATTEND THE LIVE BROADCAST](https://github.registration.goldcast.io/series/ff0939de-f20a-4395-80ff-4bc606e356fd "Register for GitHub Copilot Fridays")

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Every two weeks, our GitHub experts will explore specific topic, use-case or persona based demonstrations so you can get the most valuable information for your needs. See the recording list below and check back regularly for the latest uploads!

Resource Page for /copilot-fridays-english-on-demand

Explore the possibilities of the world's most widely adopted AI developer tool with GitHub Copilot Fridays

If you'd like to attend the live broadcast of GitHub Copilot Fridays, [you can register and see the full list of upcoming topics here.](https://github.registration.goldcast.io/series/ff0939de-f20a-4395-80ff-4bc606e356fd "Register for GitHub Copilot Fridays") However please note this live broadcast is delivered in English only. 

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__Prinsip Dasar Prompt Crafting buat GitHub Copilot__<br>
Tingkatkan kualitas prompt Anda untuk memaksimalkan efisiensi dan kemampuan GitHub Copilot. Pelajari praktik terbaik untuk membuat prompt yang jelas, ringkas, dan kaya konteks yang dapat membantu Copilot menghasilkan saran kode yang lebih akurat dan berguna, yang akan meningkatkan produktivitas dalam pengembangan perangkat lunak.<br>

<div class="embed-responsive embed-responsive-16by9">
  <iframe src="https://www.youtube.com/embed/BRgz5BhQ2cU?si=r_zCepa7ugpRB24f" width="640" height="375" frameborder="0" allowfullscreen></iframe>
</div>

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__GitHub Copilot untuk MLOps/Data Scientist__<br>
Dalam sesi ini, kita akan menjelajahi GitHub Copilot sebagai pemrogram pasangan AI, dengan fokus pada penerapannya untuk teknisi pembelajaran mesin dan ilmuwan data. Melalui demonstrasi langsung, kami akan menggunakan Copilot untuk membantu tugas pemrosesan data, termasuk pembersihan data, ekstraksi fitur, dan kemudian menjalani pelatihan model pembelajaran mesin dan mendokumentasikan seluruh alur kerja. Peserta akan melihat bagaimana GitHub Copilot dapat mempercepat pengembangan, mengurangi kompleksitas kode, dan meningkatkan produktivitas dalam alur kerja pembelajaran mesin.<br>

<div class="embed-responsive embed-responsive-16by9">
  <iframe src="https://www.youtube.com/embed/NObSCtG2V2s?si=p5vDog51RvX-RZnS" width="640" height="375" frameborder="0" allowfullscreen></iframe>
</div>
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__GitHub Copilot untuk Insinyur Infrastruktur__<br><br>
Dalam video ini, Anda akan mempelajari bagaimana GitHub Copilot dapat merevolusi cara insinyur infrastruktur merancang, menerapkan, dan mengelola lingkungan cloud dan sistem lokal. Sesi ini akan mendalami aplikasi praktis, menunjukkan bagaimana Copilot membantu penulisan Infrastruktur sebagai Kode (IaC), mengotomatiskan tugas yang berulang, dan meningkatkan kolaborasi melalui saran kode yang cerdas. Peserta akan mendapatkan wawasan tentang mengintegrasikan Copilot ke dalam alur kerja mereka untuk meningkatkan efisiensi, mengurangi kesalahan, dan mempercepat proyek.<br>

<div class="embed-responsive embed-responsive-16by9">
  <iframe src="https://www.youtube.com/embed/e4eCO7-l6io?si=JDxgwmT84damC7Zs" width="640" height="375" frameborder="0" allowfullscreen></iframe>
</div>
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__Menggunakan GitHub Enterprise Managed Users (EMU) untuk menyiapkan & mengelola penggunaan Copilot Anda__<br><br>
Dapatkan peningkatan sekuritas melalui integrasi dengan penyedia identitas atau Identity Provider (IdP) seperti Entra ID dan Okta menggunakan fitur Enterprise Managed User (EMU), dan pemanfaatan GitHub Copilot. Dengarkan fitur Enterprise Managed User, termasuk bagaimana cara memulai penggunaannya, dan prosedur pengaturan untuk GitHub Copilot.<br>

<div class="embed-responsive embed-responsive-16by9">
  <iframe src="https://www.youtube.com/embed/4QTfpBPTjDI?si=xDJGDn2RWzqEDZBl" width="640" height="375" frameborder="0" allowfullscreen></iframe>
</div>
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__GitHub Copilot untuk Database SQL Developer__<br><br>
Sesi ini akan memberikan gambaran bagaimana GitHub Copilot dapat digunakan dalam konteks SQL developer dan integrasi ETL yang sedang dikembangkan dalam bentuk skrip SQL, stored procedure, atau fungsi internal.<br>

<div class="embed-responsive embed-responsive-16by9">
  <iframe src="https://www.youtube.com/embed/cS2xjZKsRPQ?si=QcagYdy9R6NmDAtu" width="640" height="375" frameborder="0" allowfullscreen></iframe>
</div>
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---

If you'd like to attend the live broadcast of GitHub Copilot Fridays, [you can register and see the full list of upcoming topics here.](https://github.registration.goldcast.io/series/ff0939de-f20a-4395-80ff-4bc606e356fd "Register for GitHub Copilot Fridays") However please note this broadcast is delivered in English only. 

---

__Prinsip Dasar Prompt Crafting buat GitHub Copilot | Friday 1st November__<br>
Tingkatkan kualitas prompt Anda untuk memaksimalkan efisiensi dan kemampuan GitHub Copilot. Pelajari praktik terbaik untuk membuat prompt yang jelas, ringkas, dan kaya konteks yang dapat membantu Copilot menghasilkan saran kode yang lebih akurat dan berguna, yang akan meningkatkan produktivitas dalam pengembangan perangkat lunak.<br>

<div class="embed-responsive embed-responsive-16by9">
  <iframe src="https://www.youtube.com/embed/BRgz5BhQ2cU?si=r_zCepa7ugpRB24f" width="640" height="375" frameborder="0" allowfullscreen></iframe>
</div>

<br>
<br>

__GitHub Copilot untuk MLOps/Data Scientist | Friday 15th November__<br>
Dalam sesi ini, kita akan menjelajahi GitHub Copilot sebagai pemrogram pasangan AI, dengan fokus pada penerapannya untuk teknisi pembelajaran mesin dan ilmuwan data. Melalui demonstrasi langsung, kami akan menggunakan Copilot untuk membantu tugas pemrosesan data, termasuk pembersihan data, ekstraksi fitur, dan kemudian menjalani pelatihan model pembelajaran mesin dan mendokumentasikan seluruh alur kerja. Peserta akan melihat bagaimana GitHub Copilot dapat mempercepat pengembangan, mengurangi kompleksitas kode, dan meningkatkan produktivitas dalam alur kerja pembelajaran mesin.<br>

<div class="embed-responsive embed-responsive-16by9">
  <iframe src="https://www.youtube.com/embed/NObSCtG2V2s?si=p5vDog51RvX-RZnS" width="640" height="375" frameborder="0" allowfullscreen></iframe>
</div>
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__COMING UP NEXT | FRIDAY 29TH NOVEMEBER__<br>
__GitHub Copilot for Infrastructure Engineers__<br><br>
Explore how GitHub Copilot can revolutionize the way infrastructure engineers design, deploy, and manage cloud environments and on-premises systems. This session will dive into practical applications, showcasing how Copilot assists with writing Infrastructure as Code (IaC), automating repetitive tasks, and enhancing collaboration through intelligent code suggestions. Attendees will gain insights into integrating Copilot into their workflows to improve efficiency, reduce errors, and accelerate project timelines.<br>

[Register to attend GitHub Copilot for Infrastructure Engineers live](https://github.registration.goldcast.io/events/b0b60935-86f4-4480-9deb-cbf40bf33e11)(English language only)

<br><br>

Resource Page for /copilot-fridays-indonesian-on-demand

If you'd like to attend the live broadcast of GitHub Copilot Fridays, [you can register and see the full list of upcoming topics here.](https://github.registration.goldcast.io/series/ff0939de-f20a-4395-80ff-4bc606e356fd "Register for GitHub Copilot Fridays") However please note this broadcast is delivered in English only. 

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__GitHub Copilot 프롬프트 작성 기본 | Friday 1st November__<br>
GitHub Copilot의 성능을 최대한으로 이끌어내기 위해서는 프롬프트의 품질이 중요합니다. GitHub Copilot이 더 정확하고 유용한 코드를 제안할 수 있도록, 명확하고 간결하며 상황에 맞는 프롬프트 작성 방법을 배워 보세요. 이를 통해 소프트웨어 개발의 생산성을 크게 향상시킬 수 있습니다.<br>

<br>

__MLOps/데이터 과학자를 위한 GitHub Copilot 활용법 | Friday 15th November__<br>
GitHub Copilot을 AI 페어 프로그래머로 활용하여 머신러닝 엔지니어와 데이터 사이언티스트를 위한 다양한 애플리케이션을 탐구합니다. 실습 데모를 통해 데이터 처리 작업(데이터 정제, feature 추출 등)에서 GitHub Copilot이 어떻게 도움을 주는지, 머신러닝 모델 훈련과 전체 워크플로우 문서화까지 보여드립니다. 참가자는 GitHub Copilot이 머신러닝 워크플로우를 가속화하고 코드 복잡성을 줄이며 생산성을 향상시키는 방법을 확인할 수 있습니다.<br>

---

__[영상 보기](https://resources.github.com/copilot-fridays-korean-on-demand/#form)__<br><br>

---


If you'd like to attend the live broadcast of GitHub Copilot Fridays, [you can register and see the full list of upcoming topics here.](https://github.registration.goldcast.io/series/ff0939de-f20a-4395-80ff-4bc606e356fd "Register for GitHub Copilot Fridays") However please note this broadcast is delivered in English only. 

---

__GitHub Copilot 프롬프트 작성 기본 | Friday 1st November__<br>
GitHub Copilot의 성능을 최대한으로 이끌어내기 위해서는 프롬프트의 품질이 중요합니다. GitHub Copilot이 더 정확하고 유용한 코드를 제안할 수 있도록, 명확하고 간결하며 상황에 맞는 프롬프트 작성 방법을 배워 보세요. 이를 통해 소프트웨어 개발의 생산성을 크게 향상시킬 수 있습니다.<br>

<div class="embed-responsive embed-responsive-16by9">
  <iframe src="https://www.youtube.com/embed/-SdVkWvgtLE?si=HnNkHwN0wsjKTTx-" width="640" height="375" frameborder="0" allowfullscreen></iframe>
</div>

<br>
<br>

__MLOps/데이터 과학자를 위한 GitHub Copilot 활용법 | Friday 15th November__<br>
GitHub Copilot을 AI 페어 프로그래머로 활용하여 머신러닝 엔지니어와 데이터 사이언티스트를 위한 다양한 애플리케이션을 탐구합니다. 실습 데모를 통해 데이터 처리 작업(데이터 정제, feature 추출 등)에서 GitHub Copilot이 어떻게 도움을 주는지, 머신러닝 모델 훈련과 전체 워크플로우 문서화까지 보여드립니다. 참가자는 GitHub Copilot이 머신러닝 워크플로우를 가속화하고 코드 복잡성을 줄이며 생산성을 향상시키는 방법을 확인할 수 있습니다.<br>

<div class="embed-responsive embed-responsive-16by9">
  <iframe src="https://www.youtube.com/embed/kqByCKmXCYA?si=5yxi8c6JizjRLDBW" width="640" height="375" frameborder="0" allowfullscreen></iframe>
</div>

---
If you'd like to attend the live broadcast of GitHub Copilot Fridays, [you can register and see the full list of upcoming topics here.](https://github.registration.goldcast.io/series/ff0939de-f20a-4395-80ff-4bc606e356fd "Register for GitHub Copilot Fridays") However please note this broadcast is delivered in English only. 

Resource Page for /copilot-fridays-korean-on-demand

If you'd like to attend the live broadcast of GitHub Copilot Fridays, [you can register and see the full list of upcoming topics here.](https://github.registration.goldcast.io/series/ff0939de-f20a-4395-80ff-4bc606e356fd "Register for GitHub Copilot Fridays") However please note this broadcast is delivered in English only. 

---

__GitHub Copilot 提示词基础技巧 | Friday 1st November__<br>
提高提示的质量，以最大限度地提高 GitHub Copilot 的效率和功能。了解如何编写清晰、简洁且上下文丰富提示的最佳实践，这些提示可帮助 Copilot 生成更准确、更有用的代码建议，从而提高软件开发的效率。<br>

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__GitHub 副驾驶周五 |面向 MLOps/数据科学家的 GitHub Copilot__<br>
在本视频中，我们将探讨 GitHub Copilot 作为 AI 结对程序员的应用，特别针对机器学习工程师和数据科学家。通过实际操作演示，我们将展示 GitHub Copilot 如何协助完成数据处理任务，包括数据清理、特征提取，以及逐步训练机器学习模型并记录整个工作流程。参与者将深入了解 GitHub Copilot 如何加速开发、简化代码复杂性，提高机器学习工作流程的生产力。<br>

__[WATCH NOW](https://resources.github.com/copilot-fridays-mandarin-on-demand/#form)__<br><br>


If you'd like to attend the live broadcast of GitHub Copilot Fridays, [you can register and see the full list of upcoming topics here.](https://github.registration.goldcast.io/series/ff0939de-f20a-4395-80ff-4bc606e356fd "Register for GitHub Copilot Fridays") However please note this broadcast is delivered in English only. 

---

__GitHub Copilot 提示词基础技巧 | Friday 1st November__<br>
提高提示的质量，以最大限度地提高 GitHub Copilot 的效率和功能。了解如何编写清晰、简洁且上下文丰富提示的最佳实践，这些提示可帮助 Copilot 生成更准确、更有用的代码建议，从而提高软件开发的效率。<br>

<div class="embed-responsive embed-responsive-16by9">
  <iframe src="https://www.youtube.com/embed/DD8nORNn7_c?si=Ew0MmsFmvdORNmtc" width="640" height="375" frameborder="0" allowfullscreen></iframe>
</div>

<br>
<br>

---

__GitHub 副驾驶周五 |面向 MLOps/数据科学家的 GitHub Copilot__<br>
在本视频中，我们将探讨 GitHub Copilot 作为 AI 结对程序员的应用，特别针对机器学习工程师和数据科学家。通过实际操作演示，我们将展示 GitHub Copilot 如何协助完成数据处理任务，包括数据清理、特征提取，以及逐步训练机器学习模型并记录整个工作流程。参与者将深入了解 GitHub Copilot 如何加速开发、简化代码复杂性，提高机器学习工作流程的生产力。<br>

<div class="embed-responsive embed-responsive-16by9">
  <iframe src="https://www.youtube.com/embed/KvhI_br-RE4?si=JqrEe78H56HzDFV6" width="640" height="375" frameborder="0" allowfullscreen></iframe>
</div>
<br>

---


Resource Page for /copilot-fridays-mandarin-on-demand

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/copilot-trust-center FAQ - IP and OS

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/copilot-trust-center FAQ Section - Labor Market 

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Landing Page for /copilot-trust-center

✨ __How It Works:__ <br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;__10 Minutes to Shine:__ Showcase your innovative GitHub use case, share what you love and need more of, and get real-time feedback on how to get the most of your feature from the minds behind the platform.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;__5 Minutes to Influence the Future:__ Share __one feature request__ that could shape the future of GitHub. Your voice matters!<br>

✨__How the Hour Will Be Spent:__<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;__5 Minutes Intro:__ Introduction to the theme and GitHub Engineers and their Leadership. <br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;__15 Minutes Customer Presentation:__ Live demo your use case and share your feature request.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;__5 Minutes Break__<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;__15 Minutes Customer Presentation:__ Live demo your use case and share your feature request.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;__10 Minutes Q&A:__ Open forum discussion on the presentations and topic.<br>

This is more than just a meeting—it’s a __rare opportunity__ to engage with the leaders who drive GitHub’s vision. Whether you’re building the next big thing or optimizing your workflows, this is your moment to stand out and make an impact.<br>

✨__Reserve Your 15-Minute Slot Now:__<br>
Click below to secure your spot and take the first step toward elevating your GitHub journey.<br>

__Dates and Topics (PST)<br>__

__March 18th: Copilot Metrics__
- 8:05-8:20am<br>
- 8:25-8:40am<br><br>

__April 15th: GHAS and AI__
- 8:05-8:20am<br>
- 8:25-8:40am<br><br>

__May 13th: Copilot Workspaces__
- 8:05-8:20am<br>
- 8:25-8:40am<br><br>

__June 17th: Proxima__
- 8:05-8:20am<br>
- 8:25-8:40am<br><br>

__July 15th: Actions__
- 8:05-8:20am<br>
- 8:25-8:40am<br><br>

__August 12th: API & Webhooks__
- 8:05-8:20am<br>
- 8:25-8:40am<br>

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Sign Up to Join

Are you ready to take your GitHub experience to the next level? Here's your chance to connect directly with the folks that are building your experience firsthand and GitHub's Engineering Leadership in a limited, first-come-first-served opportunity! This is your opportunity to showcase how your team leverages GitHub and share your top feature request —shaping the future of our platform.

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🚀 Customer Connect Exclusive Opportunity: Secure Your Time with GitHub Engineers and their Leadership! 🚀

Check out the new AI enhancements of GitHub Copilot, the ultimate coding companion—and the tool loved by engineers and DevOps teams worldwide.

Get the GitHub Copilot info sheet: Embrace AI-Powered Software Development, to scope out product upgrades and pricing, and see how GitHub Copilot transforms GitHub into an AI-powered developer platform using generative AI.

Download the info sheet to explore:

- The latest AI features and differences between GitHub Copilot Business and GitHub Copilot Enterprise.
- The newest capabilities of GitHub Copilot Chat in IDE.
- Pricing plans and a side-by-side feature comparison. 
- How the GitHub Copilot Trust Center helps answer questions about security, privacy, intellectual property, and product terms and conditions.


Explore the new AI-powered features of GitHub Copilot, pricing plans, and how the Copilot Trust Center answers your AI questions.

Resource Page for /embrace-ai-powered-software-development 

CDL for /embrace-ai-powered-software-development 

Embrace AI-Powered Software Development

Published via [GitHub Executive Insights](https://github.com/solutions/executive-insights "Executive insights, curated just for you")

We've gathered everything enterprise teams need to hit the ground running with GitHub Copilot. From initial setup to advanced features, this guide will walk you through the essential resources to make your Copilot implementation successful.

## Foundation & setup
   - [Comprehensive quickstart guide](https://docs.github.com/en/copilot/quickstart)
   - [Enterprise setup instructions](https://docs.github.com/en/enterprise-cloud@latest/copilot/setting-up-github-copilot/setting-up-github-copilot-for-your-enterprise)
   - [Scaling and adoption best practices](https://docs.github.com/en/copilot/rolling-out-github-copilot-at-scale/driving-copilot-adoption-in-your-company)

## Team resources
   - [Step-by-step tutorial series](https://github.com/features/copilot/tutorials)
   - [Real-world examples and use cases](https://github.blog/developer-skills/github/what-can-github-copilot-do-examples/)
   - [Practical workflow integration tips](https://resources.github.com/learn/pathways/copilot/essentials/tips-for-a-successful-rollout-of-github-copilot/)

## Get the most out of Copilot
   - [Copilot Chat Cookbook for enhanced productivity](https://docs.github.com/en/copilot/copilot-chat-cookbook) (find examples of prompts to use with GitHub Copilot Chat)
   - [Usage tracking with metrics API](https://docs.github.com/en/copilot/rolling-out-github-copilot-at-scale/analyzing-usage-over-time-with-the-copilot-metrics-api)
   - [Latest capabilities across programming languages](https://docs.github.com/en/enterprise-cloud@latest/get-started/learning-about-github/github-language-support)

##  Tackling technical challenges
   - [Strategies for documenting legacy code and maintaining clean, efficient codebases](https://github.blog/ai-and-ml/github-copilot/documenting-and-explaining-legacy-code-with-github-copilot-tips-and-examples/)

## Looking forward
   - [New model options including Google Gemini 2.0 Flash](https://github.blog/changelog/2025-02-05-google-gemini-2-0-flash-is-now-available-to-all-copilot-users-in-public-preview/)
   - [OpenAI o3-mini availability](https://github.blog/changelog/2025-02-06-openai-o3-mini-is-now-available-in-github-copilot-free/)
   - [Upcoming features and improvements: GitHub Copilot, The Agent Awakens](https://www.youtube.com/watch?v=C95drFKy4ss)

Your development teams are about to experience a significant boost in productivity with GitHub Copilot. These resources will help ensure a smooth rollout and optimal usage across your organization. As Copilot continues to evolve with new features and capabilities, bookmark our "[What's Next](https://github.com/features/copilot/whats-new)" page to stay current with the latest updates and improvements.

---

Want to learn more about the strategic role of AI and other innovations at GitHub? Explore [Executive Insights](https://github.com/solutions/executive-insights) for more thought leadership on the future of technology and business.

Getting started with GitHub Copilot doesn't have to be complicated.

Resource Page for /enterprise/essential-copilot-resources

Essential GitHub Copilot resources for enterprise teams

__날짜:__ 2024년 4월 5일 금요일<br>
__시간:__ 3:00pm - 5:00pm<br>
__장소:__ 서울 특별시 종로구 종로1길 50, 더 케이트 트윈타워 A동 13층, 한국마이크로소프트

이번 워크숍은 참가자분들이 GitHub 전문가와 함께 GitHub Copilot의 가능성을 실시간으로 경험할 수 있는 2시간의 멘토링 프로그램입니다.<br>

저희는 Copilot 혁신의 일환으로 최근 발표된 흥미로운 기능들도 함께 살펴볼 예정입니다. 이 기술의 진정한 가능성을 발견하고 싶은 분이라면 이벤트에 꼭 참여 부탁 드립니다. <br>

이번 워크숍은 참가하시는 분들께 맞춤형 경험을 받을 수 있도록 각 기관별로 최대 2명까지로 제한됩니다.<br>
__준비물:__ 상호작용이 있는 워크숍으로, 참가자 분들은 자신의 노트북을 가져오셔야하며 이미 GitHub 계정을 보유하고 있어야 합니다. Copilot 접근은 당일 제공될 예정입니다.<br>

__참가를 원하시면 아래의 양식을 작성해주세요. __


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GitHub Copilot의 혁신적인 기술과 잠재력에 대해 소개해 드리는 이벤트 이오니, 관심 있으신 분들의 많은 참여 부탁 드립니다. 

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Introduction to GitHub Copilot (EMEA)