'Is AI creating a new code review bottleneck for senior engineers?'
12 hours ago
- #developer productivity
- #code review
- #AI in coding
- AI is being widely adopted in coding, with Google and Microsoft reporting 20-30% of their code is AI-generated.
- AI-generated code can be deceptively convincing but often lacks correctness, maintainability, and integration with production systems.
- Trust in AI-generated code is declining, with 30% of developers reporting little to no trust in it.
- Developers face the '70% problem' where AI handles the initial code but leaves complex issues like edge cases and debugging.
- The 'two steps back' pattern highlights how AI fixes can create more problems than they solve.
- AI-assisted coding may not significantly boost productivity, with true gains estimated at less than 2x.
- Code review is becoming a bottleneck as AI increases the volume of code needing human review.
- AI can be useful as a learning tool, helping developers understand old codebases and explore new approaches.
- Context engineering is crucial for improving AI-generated code quality by providing relevant project background.
- Writing tests for AI-generated code is important, but human review remains essential to ensure quality.