Surge in code review load challenges engineers
AI-powered solutions emerge as a new trend
1Code review crisis
With AI producing more and higher-quality code, the bottleneck in software development has shifted from coding to the review phase. Since February, the increasing code review load has become one of the most discussed topics among engineering leaders.
2AI-powered solutions
There's an explosion in the use of specialized AI code review tools like CodeRabbit, Greptile, and SonarQube. Coding platforms such as GitHub Copilot and Claude are also entering this space with their own review tools. Large companies are developing in-house solutions.
3Uber's in-house solution
Uber offers features like smart assignments and risk profiles through its Code Inbox tool. It estimates the impact of changes and highlights risky ones. Companies like Cloudflare, Faire, and HubSpot are also improving their review processes with similar internal tools.
4Alternative approaches
Some companies are focusing on verification methods instead of reviews. However, there's uncertainty about what constitutes thorough testing and how to implement it. Different approaches like integration tests, fuzz tests, and formal methods are being debated.
5Engineer burnout
Excessively detailed code reviews are exhausting engineers and leading to subpar reviews. Engineers reviewing AI-generated PRs are struggling with the increased load. Some are approving PRs without comments if the AI review finds no issues.
6Future solutions
Both AI-powered tools and process improvements are being tested to reduce review load. However, definitive solutions aren't yet clear. Practical solutions and experiences shared by companies will be critical for the industry's future in addressing this challenge.
Original article: The Pragmatic Engineer — Kod inceleme yükündeki artış mühendisleri zorluyor