agentic workflows

How migrating Copilot code review to shared Unix-style code exploration tools reduced review cost by reshaping agent workflows around pull request evidence.

Explore how the Aspire team turns merged product changes into SME-reviewed docs pull requests, closing the gap between release and documentation.

Agentic workflows that run on every pull request can quietly accumulate large API bills. Here’s how we instrumented our own production workflows, found the inefficiencies, and built agents to fix them.

GitHub Agentic Workflows are built with isolation, constrained outputs, and comprehensive logging. Learn how our threat model and security architecture help teams run agents safely in GitHub Actions.

Discover GitHub Agentic Workflows, now in technical preview. Build automations using coding agents in GitHub Actions to handle triage, documentation, code quality, and more.

Copilot’s cross-agent memory system lets agents learn and improve across your development workflow, starting with coding agent, CLI, and code review.

MCP is moving to the Linux Foundation. Here’s how that will affect developers.

We’re using embedding-guided tool routing, adaptive clustering, and a streamlined 13-tool core to deliver faster experience in VS Code.

Nearly a billion commits later, the way we ship code has changed for good. Here’s what the 2025 Octoverse data says about how devs really work now.

Curious about using GitHub Copilot in your terminal? Here’s our guide to GitHub Copilot CLI, including a starter kit with the best prompts for a wide range of use cases.

This guide offers five essential tips for writing effective GitHub Copilot custom instructions, covering project overview, tech stack, coding guidelines, structure, and resources, to help developers get better code suggestions.

Delegate coding tasks to Copilot and track progress wherever you are on GitHub. Copilot works in the background, creates a pull request, and tags you for review when finished.

Learn how to configure Copilot coding agent’s environment, optimize project structure, use custom instructions, and extend its capabilities with MCP servers.

When it comes to merging code, developers will always make the final decision. But we’re rethinking how tools like GitHub Copilot can help.