newsReddit r/MachineLearningTrust 52 · CommunityPublished 1mo agoLive · 29d ago
AI-generated code detection in CI/CD — looking for approaches and real-world experience [D]
I'm working on a system to estimate whether code committed to a repository was generated with AI coding tools. My current approach is based on Git/commit-level signals such as AI-related commit trailers, commit metadata, LOC changes, number of files changed, addition/deletion patterns, etc. The problem I'm running into is confidence and calibration. For example, a commit containing 500+ new lines isn't necessarily AI-generate
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 53%Jwuthri/Tracely →
- PossiblePossibly related (embedding) · 51%TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization →
- PossiblePossibly related (embedding) · 51%Brain0-ai/brain0 →
- PossiblePossibly related (embedding) · 51%sammcj/mcp-devtools →
- PossiblePossibly related (embedding) · 50%mex-memory/mex →
- PossiblePossibly related (embedding) · 55%codecoradev/cora-code →
