Stop Reading AI Code. Start Measuring It. (A Rails Playbook.)
This title could be clearer and more informative.Try out Clickbait Shieldfor free (5 uses left this month).
A practical Rails playbook for automating code quality gates on AI-generated code. The author builds a single `bin/rake quality` command that enforces five metrics: line and branch test coverage (via SimpleCov), cyclomatic complexity and ABC size (via RuboCop and Flog), module size as an SRP proxy, and mutation testing kill ratio (via Mutant). Each metric includes the Ruby implementation, threshold rationale, and honest caveats. A ratchet mechanism prevents mutation score regressions without requiring an upfront investment. The post argues that AI coding agents make previously-annoying complexity cops viable because the agent can fix violations automatically, shifting human review toward intent and architecture rather than mechanical correctness.
Table of contents
The setupMetric 1 — Test Coverage (the bare minimum)Metric 2 — Cyclomatic Complexity & Method Size (the smell detector)Metric 3 — Module Sizes (the single-responsibility nudge)Metric 4 — Mutation Testing (the truth detector)Metric 5 — Dependency Structure (the one we didn’t implement)Putting it all togetherWhat this buys youThe limitsResourcesSort: