AI Code Review Frameworks in Production: Comparing CodeRabbit, Qodo, Greptile, and Copilot Architecture, AST Dependency Graphs, False Positive Filtering, and Review Economics
The surge in automated code generation has exposed a major structural bottleneck in software delivery: pull request review velocity. While AI coding tools accelerate the creation of multi-file diffs, human engineering review capacity remains fixed. Relying on naive large language model prompts over raw git diffs introduces severe failure modes, including hallucinated syntax rules, nitpicking noise, and inability to trace function modifications across distant caller and callee boundaries. To sol
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