Google is a leader in The Forrester Wave™: Public Cloud Platforms, Q3 2026
cloud.google.com·4d ago
Cloud & Infrastructure
The New Stack·20h ago·5 min read
Code review is burning out your best engineers
TL;DR
High adoption of AI in coding is overwhelming engineers with review tasks, leading to burnout among those who prioritize code quality. As a result, engineers are spending significantly less time writing code and more time reviewing AI-generated outputs.
✦ Why It Matters
Evaluate your team's code review process to reduce the burden on engineers and improve job satisfaction.
Key Takeaways
- Identify and codify recurring review comments to streamline the process.
- Preserve the intent behind AI-generated code for better context.
- Measure the effectiveness of review processes, not just throughput.
- Encourage knowledge sharing by focusing on decision-making during reviews.
How It Works
By analyzing past PR comments, teams can categorize feedback into deterministic, execution-testable, and judgment-based. This allows for the creation of automated checks for common issues, reducing the need for manual reviews.