Are You Smarter Than a Fruit Fly?

A recent project explores the potential of using a simulated fruit fly brain, mapped by Google, to perform automated code reviews. By training a model on codebase mutations, the author demonstrated that the simulated brain could achieve a 96% agreement rate with test results on unseen code changes, rivaling logistic regression models. The article posits that as AI models improve, the traditional human-centric code review process may become a bottleneck. The author suggests that while humans should maintain high-level oversight and verify business logic, the granular task of reviewing code can increasingly be offloaded to autonomous agents. To facilitate this transition, the author emphasizes the need for agents to provide comprehensive evidence, such as screenshots, test results, and command outputs, ensuring that humans can trust the automated output without needing to manually inspect every line of code.