Using GitHub Copilot in your IDE: Tips, tricks, and best practices
GitHub Copilot is a powerful AI assistant. Learn practical strategies to get the most out of GitHub Copilot to generate the most relevant and useful code suggestions in your editor.
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GitHub Copilot is a powerful AI assistant. Learn practical strategies to get the most out of GitHub Copilot to generate the most relevant and useful code suggestions in your editor.
While AI revolutionizes software development, it still relies on developers to pilot its use. In this blog, we’ll cover the skills that developers need to have for navigating this new AI-powered coding frontier.
Here's how merge queue transformed the way GitHub deploys changes to production at scale, so you can do the same for your organization.
Discover how keeping repository maintainer information accurate through CODEOWNERS files and automating maintenance with tools like cleanowners fosters efficient collaboration and sustainable software projects.
Explore the capabilities and benefits of AI code generation, and how it can improve the developer experience for your enterprise.
In January, we experienced three incidents that resulted in degraded performance across GitHub services.
A peek under the hood of GitHub Advanced Security code scanning autofix.
The npm engineering team recently transitioned to using GitHub Codespaces for local development for npm registry services. This shift to Codespaces has substantially reduced the friction of our inner development loop and boosted developer productivity.
The Fundamentals program has helped us address tech debt, improve reliability, and enhance observability of our engineering systems.
Our latest solution to the ubiquitous engineering problem of integration testing in a distributed service ecosystem here at GitHub.
Explore what flow state entails, its benefits, and three tips for reaching it the next time you code.
GitHub Copilot is widely known for its code generation feature. Learn how the AI assistant’s abilities can extend beyond just code generation.
In December, we experienced three incidents that resulted in degraded performance across GitHub services.
As we look to empower developers with AI tools, we inadvertently integrate AI deeper into the way developers work. How do developers feel about that? And what are the most impactful ways to introduce more AI into workflows? We recently conducted 25 in-depth interviews with developers to understand exactly that.
Take CODEOWNERS and GitHub teams to the next level. Learn about how GitHub engineering solves the age old problem of who owns what.
In November, we experienced one incident that resulted in degraded performance across GitHub services.