Practices
The Human Layer: Code Review for Generated Artifacts
Walhallah
6 min read
A pragmatic checklist for reviewing AI-written code.
#code-review#checklists#quality#tooling
Reviewers should focus on invariants, error handling, and boundary conditions, not superficial style. Confirm inputs are validated, side effects are explicit, and resources are cleaned. Run perf smoke tests and scan for dependency risk and license contamination.
A short checklist beats vague “LGTM”: data flows, authz, idempotency, and observability hooks. With a crisp rubric, AI accelerates work while humans guarantee integrity.
Published:
Article Info
Category:Practices
Read time:6 minutes
Author:Walhallah
Published:Oct 2025
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