Effective AI Code Suggestions: Less is More

Qodo (formerly Codium) discovered a crucial lesson in using LLMs for code review with its AI-powered tool, Qodo Merge. Initially, prioritizing bug detection over style suggestions proved ineffective; the model got overwhelmed by the easier-to-find style issues, leading to suggestion fatigue among developers. The breakthrough came from simplifying the model's task: focusing solely on finding meaningful bugs and problems. This laser focus increased bug detection rates and the signal-to-noise ratio, resulting in a 50% jump in suggestion acceptance rates and an 11% increase in overall impact. The key takeaway: sometimes, eliminating distractions is more effective than complex prioritization.