special agent's memory
A research prototype for Predictive Software Testing that optimizes regression cycles.
Zero-checkout in-memory Git history, churn, hotspot & temporal coupling analyzer.
Machine Learning-powered CLI tool analyzing Git history, code complexity metrics (McCabe & Halstead) & PyDriller to estimate Technical Debt & Software Health.
Estimates how much of a codebase was written by coding agents from code style, calibrated on a recent known-human control group. Across 151 popular repos, 72-89% of surviving 2024+ lines are agent-written, vs 14.5% visible from commit trailers.
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