I built Evolution Engine, an open source CLI that detects development process drift using statistical analysis (no AI APIs). Ran it on 10 major repos — cloud SDKs, frontend
frameworks, AI tooling. Key findings across 130K+ commits:
- CI build time spikes up to 1,552x baseline in every repo
- Release cadence gaps correlate with code spread (8/10 repos)
- Co-change novelty drops to zero (9/10) — repetitive patterns vs organic development
- Cross-family correlations invisible if you only monitor one signal
Google's DORA says AI increases throughput but decreases stability. This data shows why.
pip install evolution-engine
GitHub: https://github.com/alpsla/evolution-engine
Full write-up: [https://dev.to/codequal/what-10-open-source-repos-reveal-about-development-drift-in-the-ai-era-10e2]