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9 writings found
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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.
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.
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: The Missing Layer Between CI and Human Judgment
GitHub Next explores background agents that handle judgment-heavy tasks CI was never designed for. Here's what that means for how we build software.
The Hidden Complexity of Terminal Animations: 6,000 Lines for Three Seconds
Building an ASCII animation for GitHub Copilot CLI revealed that terminal engineering is harder than web development in 2025.
How to Review Open Source Projects Without Being a Pain in the Pull Request
A not-so-gentle guide to giving feedback without making maintainers want to throw their laptop out the window.