What’s new with GitHub Copilot coding agent
GitHub Copilot coding agent now includes a model picker, self-review, built-in security scanning, custom agents, and CLI handoff. Here’s what’s new and how to use it.
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GitHub Copilot
Multi-agent workflows often fail. Here’s how to engineer ones that don’t.
Most multi-agent workflow failures come down to missing structure, not model capability. Learn the three engineering patterns that make agent systems reliable.
Automate repository tasks with GitHub Agentic Workflows
Discover GitHub Agentic Workflows, now in technical preview. Build automations using coding agents in GitHub Actions to handle triage, documentation, code quality, and more.
How to maximize GitHub Copilot’s agentic capabilities
A senior engineer’s guide to architecting and extending Copilot’s real-world applications.
From pixels to characters: The engineering behind GitHub Copilot CLI’s animated ASCII banner
Learn how GitHub built an accessible, multi-terminal-safe ASCII animation for the Copilot CLI using custom tooling, ANSI color roles, and advanced terminal engineering.
Power agentic workflows in your terminal with GitHub Copilot CLI
Explore the GitHub Copilot CLI and try interacting with Copilot directly from your terminal.
Build an agent into any app with the GitHub Copilot SDK
Now in technical preview, the GitHub Copilot SDK can plan, invoke tools, edit files, and run commands as a programmable layer you can use in any application.
A cheat sheet to slash commands in GitHub Copilot CLI
Run tests, fix code, and get support—right in your workflow. Stay focused and let Copilot handle the busywork.
Context windows, Plan agent, and TDD: What I learned building a countdown app with GitHub Copilot
Learn how I managed context to keep Copilot focused, used the Plan agent to sharpen vague requirements, and required Test Driven Development practices to catch bugs before users.
Building an agentic memory system for GitHub Copilot
Copilot’s cross-agent memory system lets agents learn and improve across your development workflow, starting with coding agent, CLI, and code review.
What AI is actually good for, according to developers
AI is designed to help you do what you love most, not replace your expertise. Discover how developer feedback and real-world experience are shaping AI coding tools that keep you in control.
Want better AI outputs? Try context engineering.
Learn how custom instructions, reusable prompts, and custom agents help GitHub Copilot deliver more accurate results.
Agentic AI, MCP, and spec-driven development: Top blog posts of 2025
Explore the GitHub Blog’s top posts covering the biggest software development topics of the year.
WRAP up your backlog with GitHub Copilot coding agent
An easy-to-remember acronym, WRAP will help you write effective issues, refine your instructions, and get the most out of Copilot coding agent.
How to use GitHub Copilot Spaces to debug issues faster
Follow this step-by-step guide to learn how to debug your issues using GitHub Copilot Spaces and Copilot coding agent.
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