AI
5 DevOps tips to help teams deliver software at scale – GitHub Resources
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.
Ignite your curiosity and fuel your passion for cutting-edge software development with this three-part learning journey
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.
Adopting Generative AI in Software Development
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?
AI coding tools for beginner and expert coders
How beginner and expert coders use AI coding tools to code faster and ship great software.
How GitHub Next took Copilot Workspace from concept to code
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.
Unlocking AI at scale: Crafting a compliant and high-impact AI strategy
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.
The engineering leader’s guide to AI
AI coding is here. Developers have embraced it and already use various tools for AI code generation to augment their coding capabilities and offload some of their more mundane tasks.
GitHub case study: Enhancing customer support with AI
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.
Narrow your AI code assistant search
Find the right AI-powered development platform to empower your teams and transform your business. Learn why Gartner recognized GitHub as a Leader in this rapidly evolving space.
Glossary: Measuring the impact of GitHub Copilot
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.
GitHub Copilot: Leading the AI revolution in software development
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.
How to measure the effectiveness of GitHub Copilot
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.
Taking GitHub Copilot to the stars, not just the skies
Embarking on a successful GitHub Copilot launch requires meticulous planning and execution.
What AI Means for the Future of DevOps
Harnessing AI's full potential isn't just about boosting productivity in isolated phases—it's about driving real organizational value across the entire software development lifecycle.
What is AI code generation?
AI code generation uses machine learning models to write code from input that describes what the code should do, and the models provide context-based code suggestions along the way. AI generated code isn’t always perfect, but it often gives developers a suitable starting point for writing code quickly and efficiently.
What’s new with GitHub Copilot
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.
Explore the possibilities of the world's most widely adopted AI developer tool with 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!
Explore the possibilities of the world's most widely adopted AI developer tool with 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!
Explore the possibilities of the world's most widely adopted AI developer tool with 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!
Explore the possibilities of the world's most widely adopted AI developer tool with 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!
GitHub Copilot Trust Center
We enable developers and organizations to maximize their potential by prioritizing security, privacy, compliance, and transparency as we develop and iterate on GitHub Copilot.
Embrace AI-Powered Software Development
Explore the new AI-powered features of GitHub Copilot, pricing plans, and how the Copilot Trust Center answers your AI questions.
GitHub Copilot In-Person Workshop
GitHub Copilot의 혁신적인 기술과 잠재력에 대해 소개해 드리는 이벤트 이오니, 관심 있으신 분들의 많은 참여 부탁 드립니다.
GitHub Copilot Hands-on Workshop
A must-attend event for anyone looking to unlock the full potential of this groundbreaking technology.
GitHub at Microsoft Build AI Day Kuala Lumpur
Thank you for joining us at Microsoft Build AI Day Kuala Lumpur
Increasing collaborative development with AI
Breaking down barriers to help internal development teams discover, understand, and reuse existing code—instead of building from scratch—is challenging.
Empower developers with AI policy and governance
A modern developer organization must have a clear and detailed policy that outlines the proper use of AI tools. Developers are already using AI, both for personal and professional work, and these policies are your opportunity to protect your code's integrity and security, boost productivity, and encourage efficient best-practice use of AI tooling.
Establishing trust in using GitHub Copilot
Integrating emerging technologies into your business is bound to raise some important questions. Below we will answer the most common questions raised by our customers when evaluating GitHub Copilot for their business.
How GitHub Copilot handles data
As you explore adopting GitHub Copilot, you might wonder what data it collects, how that data is used, transferred, stored, and where its lifecycle ends. In this guide, we’ll describe GitHub Copilot’s data pipeline, and explain how your data is kept safe while being used to provide the most accurate code suggestions and responses possible.
Measuring the impact of GitHub Copilot
Copilot helps developers write better code, faster, and with more joy. We’re continuously learning—alongside our customers and partners—how to measure that impact. For example, both GitHub and outside researchers have observed positive impact in controlled experiments and field studies where Copilot has conferred:
Transforming application security with AI
From prevention to remediation, AI-assisted tooling changes everything. The future of secure software development is here. Let’s dive in.
Beyond comment driven development with GitHub Copilot X
GitHub Copilot, one of the most popular in the generative AI class, allows developers to write entire classes and functions with just a couple of comments. This allows developers to stay in the zone, focusing on solving the bigger problems.
Bringing quality into your workflow: From PR, to merge, to deploy
How do you automate more, deliver faster, and continuously improve?
Q&A with the experts: Measuring the impact of AI-based coding tools
The results are in: AI is officially here to stay, and GitHub Copilot is leading the charge in the AI developer tool space. (It’s already been adopted by over 20,000 organizations and more than one million developers.)
Reduce complexity and increase velocity with GitHub
If you're looking to start a new project, you know that getting up and running can be time-consuming and slow down your development cycles. But what if you could streamline the process and become productive right away?
Write more code by writing less code with GitHub Copilot
While we don’t always like to admit it, being a developer can sometimes be frustrating. There is boilerplate code to write, regular expression syntax to look up, and an ever-growing list of frameworks with sometimes confusing standards making it a challenge at best to keep pace. Fortunately, there’s tools available to us which can help!
Developer productivity and satisfaction: How generative AI is making a difference
Increasing developer productivity starts with having tools that can help them code faster, stay in the flow, and make meaningful progress on what matters most: building great software.
Supercharge collaboration with AI-powered innersource
Innersource centers around bringing the methodologies, learnings, and collaborative spirit from open source into internal development. However, implementing effective innersource practices—by enabling internal development teams to discover, understand, and reuse existing code instead of building from scratch—is challenging.
