Designing AI code-review agents: choosing historical reference classes for priors
Accomplished-Fun4629 · reddit · 2026-08-21
The author is designing a code-review agent that estimates prior probabilities of hidden risks (e.g., correctness failure, security vulnerabilities) based on historical PRs comparable to the current one. Proposed properties for defining the reference class include domain/subsystem, change type, language/stack, PR size, interface impact, dependency impact, security sensitivity, database impact, cross-system impact, and test-change profile. The strategy involves progressive relaxation of matching criteria if the most specific group lacks sufficient data. The author seeks practical feedback from those who have built similar agents on the validity of these properties and potential omissions.
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