How developers spend the time they save thanks to AI coding tools - The GitHub Blog
Developers tell us how GitHub Copilot and other AI coding tools are transforming their work and changing how they spend their days.
Developers tell us how GitHub Copilot and other AI coding tools are transforming their work and changing how they spend their days.
Learn how we’re experimenting with open source AI models to systematically incorporate customer feedback to supercharge our product roadmaps.
Learn how GitHub Artifact Attestations can enhance your build security and help your organization achieve SLSA Level 3. This post breaks down the basics of SLSA, explains the importance of artifact attestations, and provides a step-by-step guide to securing your build process.
Today at Collision Conference we unveiled breaking new research on the economic and productivity impact of generative AI–powered developer tools. The research found that the increase in developer productivity due to AI could boost global GDP by over $1.5 trillion.
Your source for the latest features, improvements, and fixes across GitHub products, all in one place.
A practical guide to GitHub Copilot’s agentic coding agent, chat modes, and remote MCP server so you turn issues into tested PRs with clear steps.
Learn how to streamline your development workflow with five different MCP use cases.
AI can help you code faster, but knowing why the code works—and sharpening your human-in-the-loop skills—is what makes you a great developer.
The GitHub dependency graph maps dependencies in your project, helping you identify risks, prioritize fixes, and keep your code secure.
How to build custom annotations for your design system components or use Figma’s Code Connect to help capture important accessibility details before development.