/artificial-intelligence/
A little time saved goes a long way: AMD’s AI story
The best companies and engineering teams focus on improving engineering efficiency to effectively defy time.
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?
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.
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.
AI Will Not Replace Software Engineers (and May, in Fact, Require More)
Explore the current and future impact of AI on developers and see why humans will always be essential to delivering innovative software in this report.
How enterprise engineering teams can successfully adopt AI
Learn how to bring AI to your engineering teams and maximize the value that you get from it.
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.
Introduction to GitHub Copilot
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.
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.
Mission Copilot Autofix: Securing the world's software
AI is far from reaching its peak in application security. How GitHub applies AI to help streamline remediation and enhance alert interpretability.
Taking GitHub Copilot to the stars, not just the skies
Embarking on a successful GitHub Copilot launch requires meticulous planning and execution.
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.
