I Analyzed 10 Major Open-Source Repos, and Every Single One Had Significant Drift

Google's own DORA research shows a paradox: AI tools increase developer throughput while decreasing delivery stability. I wanted to understand why. So I built an open-source CLI that detects development process drift, and ran it against 10 of the most widely-used repos in the industry: React , Next.js , VS Code , AWS CDK , Google Cloud Python , Supabase , LangChain , Stripe Node , Cloudflare Workers SDK , and Plaid . Every single one had significant drift signals across multiple dimensions. Here's what I found. CI Builds Are Silently Exploding Every project showed elevated CI/build times. Not failures — the builds still pass. They just take dramatically longer than baseline, and nobody notices because there's no alarm for "your CI is 100x slower than it was 3 months ago." Project Build Duration vs Baseline Google Cloud Python 1,552x Stripe Node 1,361x VS Code 946x LangChain 889x Supabase 611x AWS CDK 112x Next.js 104x Cloudflare Workers 75x React 13x Plaid 3.2x The median spike across