The future of AI-powered software optimization (and how it can help your team)
We envision the future of AI-enabled tooling to look like near-effortless engineering for sustainability. We call it Continuous Efficiency.
We envision the future of AI-enabled tooling to look like near-effortless engineering for sustainability. We call it Continuous Efficiency.
Editor’s note (December 19, 2025): We updated this post to indicate new dates for when self-hosted runners need to be updated to v2.329.0 or later. The original upgrade date has…
Finding the right repository can feel like searching for a needle in a haystack. When you’re juggling multiple projects or collaborating across teams, keeping track of repositories becomes overwhelming. The…
The GitHub MCP Server now comes with support for tool-specific configuration, allowing you to customize the server to your needs and minimize context window usage. Simply use the new X-MCP-Tools…
MCP is moving to the Linux Foundation. Here’s how that will affect developers.
AI can help you build faster than ever, but it can also produce bugs, issues, and problems. Use these strategies to keep your speed without losing control of your code.
Discover how advanced AI users are redefining software development—shifting from code producers to strategic orchestrators—through delegation, verification, and a new era of AI-fluent engineering.
Follow this step-by-step guide to learn how to debug your issues using GitHub Copilot Spaces and Copilot coding agent.
Use partner-built Copilot agents to debug, secure, and automate engineering workflows across your terminal, editor, and github.com.
Run multiple Copilot agents from one place. Learn prompt techniques, how to spot drift early, and how to review agent work efficiently.
To help you track and remediate secret scanning alerts more effectively, secret scanning alert assignees and security campaigns are now generally available. What’s new? Notifications: Alert assignees receive email notifications…
Learn more about the agentic security principles that we use to build secure AI products—and how you can apply them to your own agents.
Copilot code review now surfaces actionable feedback from linters, so the small stuff is never missed—and you can customize which linters are used via repository rulesets. This feature is available…
GitHub Copilot’s next edit suggestions just got faster, smarter, and more precise thanks to new data pipelines, reinforcement learning, and continuous model updates built for in-editor workflows.
GitHub now makes it easier for teams to track, prioritize, and remediate security risks that matter by connecting code, build artifacts, and production context. Here’s what’s shipped and how you…
GitHub Copilot coding agent is now available in public preview for Eclipse. This release brings Copilot directly into native Eclipse workflows. What’s new Delegate from Eclipse: Describe a task in…
Discover practical tips, examples, and best practices for writing effective instructions files. Whether you’re new or experienced, you’ll find something to level up your code reviews.
An interview with the leader of GitHub Next, Idan Gazit, on TypeScript, Python, and what comes next.
You can now track and manage Copilot coding agent without leaving Visual Studio Code. Everything you need now lives in one streamlined, centralized mission control view. View session logs directly…
A breakdown of how Copilot coding agent has contributed to a better, more powerful GitHub.
To reduce unwanted noise and help you focus on what matters most, we’re removing notifications generated from mentions in commit messages. Previously, mentioning a user or team in a commit…
Build what’s next on GitHub, the place for anyone from anywhere to build anything.
Join us October 28-29 in San Francisco or online for GitHub Universe, our flagship developer event uniting people, agents, and the world’s code.