Are coding agents creating a new review problem?
Summary
The article discusses how while coding agents can effectively generate code, they introduce a new bottleneck in reviewing and trusting the changes, questioning whether agents reduce or shift the review workload.
Similar Articles
Agentic Code Review (15 minute read)
An analysis of how AI coding agents have shifted the bottleneck from writing code to reviewing it, with data showing a 861% increase in code churn and a rise in defect rates, making code review the most leveraged skill in software engineering.
More than just code review
The article emphasizes that effectively using coding agents requires skills in instructing them and verifying their work, which may involve more than traditional code review.
There is more to code review than (automatable) detection
The article critiques a research paper arguing that coding agents can replace human code review, highlighting that human aspects like confusion, skepticism, and noticing missing elements are crucial and not replicable by LLMs.
The End of Code Review: Coding Agents Supersede Human Inspection
This paper argues that LLM-based coding agents have reached a capability threshold making human code review redundant, and proposes replacing human inspection with agent-driven verification to reduce costs and latency.
The agent principal-agent problem
The article analyzes how AI agents disrupt traditional code review processes, creating a 'principal-agent problem' where reviewers cannot effectively gauge effort or quality, leading to an increase in low-quality 'slop PRs' in open source.