Why Traditional Code Review Is Not Enough for Machine Learning and How Context-Aware Review Helps

2026-04-15

Traditional code review falls short in machine learning projects because it lacks context around data, assumptions, and system behavior, leading to unnoticed issues despite clean code. Context-aware reviews improve reliability by incorporating intent, data consistency, and edge cases into the evaluation process.