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SaaS

April 1, 2026 - 9 minutes read

How AI-Generated Contributions Are Reshaping Open-Source Supply Chain Risk

AI coding tools create cheap PRs but not reviewers. Map six dimensions of open-source supply chain risk—and how to manage them before it hits your stack.

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SaaS

April 1, 2026 - 8 minutes read

The Business Case for Contributing Back to the Open-Source Projects You Depend On

Contributing to open-source projects is supply-chain risk mitigation, not charity. Learn the fork/fund/migrate framework and how to start at SMB scale.

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SaaS

April 1, 2026 - 7 minutes read

What GitHub and the OSS Ecosystem Are Building to Protect Maintainers from AI Slop

GitHub’s February 2026 maintainer tools, criteria-based PR gating, Mitchell Hashimoto’s Vouch project, and what meaningful OSS contribution looks like at scale.

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Business

April 1, 2026 - 11 minutes read

Adding Open-Source Maintainer Health to Your Software Supply Chain Risk Process

Assess OSS maintainer health as supply-chain risk: zombie components, Contributor Absence Factor, CHAOSS viability framework, and a quarterly review process.

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Technology

April 1, 2026 - 8 minutes read

Curl Bug Bounty Shutdown and the Open-Source Incidents That Proved the Problem Is Real

The curl bug bounty shutdown, Node.js’s 19,000-line AI PR, Ghostty’s closed doors — documented incidents proving AI slop is breaking open source for real.

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Technology

April 1, 2026 - 10 minutes read

Three Open-Source Governance Orientations for Managing AI-Generated Contribution Volume

OSS AI contribution governance: the Prohibitionist, Boundary-and-Accountability, and Quality-First orientations compared via LLVM, EFF, and Ghostty policies.

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SaaS

April 1, 2026 - 8 minutes read

Why AI Pull Requests Cost More Than They Contribute to Open-Source Projects

AI tools have cut contribution cost to near-zero while review cost stays constant. Here’s why that structural imbalance is straining open-source projects.

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Business

March 30, 2026 - 8 minutes read

What AI Governance Actually Requires and Why Most Policies Fall Short

Why most AI policies fail to control risk, and what governance actually requires: operating models, accountability, runtime enforcement, and measurement.