open source.
39 writings found
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GitHub Copilot CLI: When Your Terminal Becomes Sentient (Sort Of)
GitHub's agentic AI moves into the command line. I spent time with Copilot CLI to see if coding from the terminal finally makes sense again.
GitHub's March Meltdown: What Four Major Outages Tell Us About Scale
GitHub experienced four significant incidents in March 2026. Here's what went wrong, why it matters, and what it reveals about building at scale.
GitHub's Performance War: How Simplifying React Components Made Diffs 10x Faster
GitHub gutted their diff viewer's React tree and won big on performance. Here's what happens when you stop overengineering your components.
GitHub's Performance Overhaul: Why Simplicity Beats Clever Architecture
How GitHub slashed heap usage by 10X and made massive pull requests usable again by questioning every abstraction and DOM node.
GitHub Actions Is Finally Getting Serious About Supply Chain Security
GitHub's 2026 roadmap tackles CI/CD vulnerabilities with dependency locks, execution policies, and endpoint monitoring. Here's what it means for developers.
GitHub's New Data Policy: Your Code Becomes Training Data
GitHub will train AI models on Copilot Free, Pro, and Pro+ user data starting April 24. Here's what developers need to know about this industry shift.
I Built an AI-Powered Issue Triage App and Learned Why Server-Side Architecture Still Matters
Building IssueCrush with GitHub's Copilot SDK taught me hard lessons about session management, graceful degradation, and why mobile AI needs a backend.
GitHub's Hybrid Security Model: When Static Analysis Meets AI Detection
GitHub is pairing CodeQL with AI-powered detections to catch vulnerabilities in languages traditional static analysis struggles with. Here's what that means.
The three filters that save open source maintainers from AI-generated noise
AI makes it easier to contribute code, but harder to mentor. Here's how the 3 Cs framework helps maintainers identify who's worth investing in.
GitHub's AI-Powered Accessibility Workflow: When Automation Actually Serves Users
How GitHub built an AI feedback system that routes accessibility issues to the right teams, proving automation works best when it amplifies human voices.
I Asked an AI to Audit Code and It Found 80+ Real Vulnerabilities
GitHub's open source taskflow agent found authentication bypasses, IDORs, and PII leaks with a 50% true positive rate. Here's how it actually works.
AI Skills Aren't the Gap. Access Is.
How Andela's AI training program reveals what really blocks developers in the Global South from participating in the AI era.
AI Is Quietly Deciding Which Languages Developers Choose Next
TypeScript just topped GitHub's language charts. The real story isn't the milestone, it's why AI compatibility is silently reshaping every tech decision you make.
GitHub Agentic Workflows: When Your Repository Gets Its Own AI Intern
GitHub's new agentic workflows bring coding agents into Actions with guardrails. Here's what it means for repository automation and why it's not CI/CD.
Continuous AI: Why GitHub is Betting on Agents That Reason, Not Just Execute
GitHub Next introduces Continuous AI, a new pattern for automating judgment-heavy engineering work that CI was never designed to handle.