Should we just skip code review now?
8 hours ago
- #software engineering
- #code review
- #AI coding
- AI enhances coding efficiency but cannot fully replace human software engineering, especially in decision-making, contextual understanding, and quality oversight.
- Current AI excels at tasks like searching, boilerplate reproduction, and simple fixes, but struggles with nuanced thinking, code reviews, and breaking incorrect assumptions.
- Unsupervised AI coding tends to produce technical debt; human review remains essential for sustainable quality, even as AI accelerates code generation.
- Best practices include using two human reviewers for AI-generated code, maintaining transparency about AI usage, and manually writing PR titles and descriptions.
- Teams must manage the asymmetry AI introduces to prevent reviewers from being overwhelmed by low-quality output, upholding accountability and craft fundamentals.