Learn how to streamline your development workflow with five different MCP use cases.
Reduce context-switching, minimize manual work, and accelerate resolution times with these new AI-powered features.
Three maintainers share their tips for gracefully sunsetting open source projects.
What to look for with each model and how to test them in your workflows—with tips, tricks, and pointers.
Security should be native to your workflow, not a painful separate process.
With these actions, you can keep your open source projects organized, minimize repetitive and manual tasks, and focus more on writing code.
Three maintainers talk about how they fostered their open source communities.
Three open source experts offer their advice on sharing open source projects with the world.
Open source AI models are in widespread use, enabling developers around the world to build custom AI solutions and host them where they choose.
We share some of the GitHub Copilot team’s experience evaluating AI models, with a focus on our offline evaluations—the tests we run before making any change to our production environment.
Developers tell us how GitHub Copilot and other AI coding tools are transforming their work and changing how they spend their days.
Edge computing practitioners answer your questions about when and why to build applications at the edge.
Experts explain how to recruit and onboard co-maintainers.
Tech can be a tricky industry (to say the least). We talked with three tech professionals who share why they stay, what has helped them the most, and the power of switching things up.
Whether you’re committing 30 minutes or 3 hours a day to learning, consistency is key. Klint Finley asks 3 tech professionals at different stages in their career for more advice.
