How to Kill the Code Review — Ankit Jain, Aviator

Traditional line-by-line code reviews are failing to keep pace with the 861% increase in code churn, necessitating a shift toward intent-based verification. Effective software development requires balancing semantic accuracy with team alignment, the latter of which remains essential for knowledge sharing and mentorship. Instead of manual reviews, developers should capture intent from session prompts and project tickets to generate comprehensive test plans. Implementing an "AI slop registry" allows teams to codify recurring feedback, transforming repetitive review comments into automated guardrails. This approach moves the review focus from raw code diffs to verifying that the implemented behavior meets defined acceptance criteria. By leveraging LLMs for test plan creation and deterministic verification, teams can maintain high quality standards while eliminating the bottleneck of manual code inspection.