open-source.
113 writings found
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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.
The Axios Attack: When Social Engineering Becomes Your Supply Chain's Weakest Link
A sophisticated social engineering attack compromised Axios maintainer credentials through fake job interviews. Every open source maintainer needs to know this.
The Axios Attack: Why Social Engineering is Now the Biggest Threat to Open Source
A sophisticated supply chain attack on Axios used fake job interviews to install malware. Every open source maintainer needs to understand this threat.
Meta's AI is Reshoring American Concrete, One Mix at a Time
How Bayesian optimization is helping U.S. concrete producers ditch imported cement and redesign mixes in days instead of months.
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.
Starlette 1.0 and the Problem of Teaching AI New Tricks
Starlette finally hits 1.0, but breaking changes expose a fascinating challenge: how do you get LLMs to generate code for versions they weren't trained on?
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.
OpenAI Acquires Astral: What This Means for Python's Future
OpenAI's acquisition of Astral (uv, ruff, ty) raises questions about open source strategy, developer tools, and the coding agent wars with Anthropic.
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.
Meta Killed Their FFmpeg Fork and That's Actually Great News
How Meta's collaboration with FFmpeg developers brought multi-lane encoding and real-time quality metrics to everyone, not just billion-user platforms.