Decoding the new AI lingo: Loops, harnesses, squads, hill climbing… oh my!
From loop engineering to harnesses, squads, and open weights, the GitHub Podcast breaks down the AI terms showing up in developer conversations.
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How we make AI coding more cost efficient without sacrificing task quality
Why shorter outputs can cost more, and how GitHub Copilot reduces wasted work across the complete coding task.
Evaluating performance and efficiency of the GitHub Copilot agentic harness across models and tasks
Explore how the GitHub Copilot agentic harness delivers strong results across multiple benchmarks and leading token efficiency, while maintaining flexibility to choose among more than 20 models.
Take your local GitHub sessions anywhere
Kick off work in VS Code or the CLI, finish it from your phone. Remote control for GitHub Copilot sessions is now generally available on github.com and GitHub Mobile.
How to scan for vulnerabilities with GitHub Security Lab’s open source AI-powered framework
GitHub Security Lab Taskflow Agent is very effective at finding Auth Bypasses, IDORs, Token Leaks, and other high-impact vulnerabilities.
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.
AI-supported vulnerability triage with the GitHub Security Lab Taskflow Agent
Learn how we are using the newly released GitHub Security Lab Taskflow Agent to triage categories of vulnerabilities in GitHub Actions and JavaScript projects.
Community-powered security with AI: an open source framework for security research
Announcing GitHub Security Lab Taskflow Agent, an open source and collaborative framework for security research with AI.
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.
MCP joins the Linux Foundation: What this means for developers building the next era of AI tools and agents
MCP is moving to the Linux Foundation. Here’s how that will affect developers.
Your stack, your rules: Introducing custom agents in GitHub Copilot for observability, IaC, and security
Use partner-built Copilot agents to debug, secure, and automate engineering workflows across your terminal, editor, and github.com.
How GitHub’s agentic security principles make our AI agents as secure as possible
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.
How to write a great agents.md: Lessons from over 2,500 repositories
Learn how to write effective agents.md files for GitHub Copilot with practical tips, real examples, and templates from analyzing 2,500+ repositories.
How to build reliable AI workflows with agentic primitives and context engineering
See how this three-part framework will turn AI into a repeatable and reliable engineering practice.
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GitHub Universe 2026
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.