Automated AI Code Review in Production: Architecture, AST Context Assembly, Linter Hybridization, and Multi-Stage Noise Reduction
Naively piping unified git diffs into a large language model and posting the raw output to GitHub or Bitbucket is a reliable way to degrade engineering velocity. While frontier models demonstrate high zero-shot reasoning capabilities, unconstrained code review bots suffer from high false-positive rates, superficial formatting nitpicks, hallucinated API misuse, and context blindness. When an automated bot generates twenty low-value comments per pull request, developers suffer review fatigue and r
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