Improving token efficiency in GitHub Agentic Workflows
Agentic workflows that run on every pull request can quietly accumulate large API bills. Here's how we found inefficiencies and built agents to fix them.
Agent pull requests are everywhere. Here's how to review them.
A practical guide to reviewing agent-generated pull requests: what to look for, where issues hide, and how to catch technical debt before it ships.
Validating agentic behavior when “correct” isn’t deterministic
How to build the “Trust Layer” for Github Copilot Coding Agents without brittle scripts or black-box judgements by using dominatory analysis.
GitHub Copilot CLI for Beginners: Interactive v. non-interactive mode
Learn the difference between CLI interactive v. non-interactive modes.
GitHub Copilot CLI for Beginners: Getting started with GitHub Copilot CLI
GitHub for Beginners: Getting started with the GitHub Copilot CLI, a step-by-step tutorial.
The era of “AI as text” is over. Execution is the new interface.
See how the GitHub Copilot SDK enables agentic workflows directly inside your applications.
Under the hood: Security architecture of GitHub Agentic Workflows
Learn how our threat model and security architecture help teams run agents safely in GitHub Actions.
60 million Copilot code reviews and counting
How Copilot code review helps teams keep up with AI-accelerated code changes.
Multi-agent workflows often fail. Here’s how to engineer ones that don’t.
Most multi-agent workflow failures come down to missing structure. Learn the three engineering patterns that make agent systems reliable.
How AI is reshaping developer choice (and Octoverse data proves it)
AI is rewiring developer preferences. Octoverse 2025 reveals how AI compatibility is becoming the new standard for technology choice.