AI is changing developer work. Here are three skills to strengthen.
Learn to direct AI agents, critically review their output, and keep technical judgment at the center of your workflow.
GitHub engineers and industry thought leaders offer tips, best practices, and practical explainers about various aspects of AI and ML, ranging from fundamental concepts to advanced techniques and real-world applications. For more detailed documentation and practical guides on GitHub’s own AI coding tool, GitHub Copilot, check out GitHub’s official documentation.
Learn to direct AI agents, critically review their output, and keep technical judgment at the center of your workflow.
Describe the interface you need in plain English, then let the agent build a live surface you can both use and update—so you spend less time adapting to tools and more time getting work done.
What is a developer to do when they need something more tangible than a chat box? Enter canvases.
In this blog post, I explain how to use the new fuzzing taskflow based on the GitHub Security Lab Taskflow Agent AI framework.
How we rebuilt the diff surface in the GitHub Copilot app to open a million-line pull request with hundreds of inline review comments.
We dive into these questions and other AI hot takes on the latest episode of the GitHub Podcast.
A rewrite this size wasn’t affordable before agents. Here’s what porting the Copilot agent runtime to 800,000 lines of production Rust actually took.
If you can write down how you do your work, you can automate it. Here’s what I did to support GitHub’s APAC marketing team.
Checking agent-generated code usually means hopping between tabs. Learn how to view diffs, run terminal commands, and preview web apps side by side in the GitHub Copilot app.
In controlled offline evaluations, HydraFusion’s selective coding workflows matched or exceeded the evaluated Opus 5 baseline while reducing estimated workflow cost. Now available as a research preview in GitHub Copilot.
Learn how to run parallel agents in the GitHub Copilot app, and experience the moment it stops feeling scary and starts feeling powerful.
From loop engineering to harnesses, squads, and open weights, the GitHub Podcast breaks down the AI terms showing up in developer conversations.
Why shorter outputs can cost more, and how GitHub Copilot reduces wasted work across the complete coding task.
Managing library updates can be tedious at times. Learn how the GitHub Copilot app can handle this type of repetitive task.
These are the lessons we learned evaluating LLMs for real-world secret scanning.
If you’re juggling multiple Copilot sessions, use the My work pane to track what’s in flight, what’s done, and what’s next.
Chat is great for intent, but agent work gets lost in the scroll. Here is how I use canvases with my agentic workflows—and why your workflow also deserves a canvas.
See how four GitHub agent apps can help you scope, secure, roll out, and ship a feature across the SDLC–all without leaving GitHub.
Learn how to write your first prompt in the GitHub Copilot app, choose the right context and model, and start your first task with confidence.
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.