LEARNINGS FROM BUILDING AI AGENTS

Summary from the TLDR Web Dev newsletter

An AI code review agent was initially too noisy, flooding pull requests with low-value comments. To address this, the Cubic team updated the architecture by requiring explicit reasoning logs, streamlining the toolset, and specializing tasks with micro-agents. These changes led to a 51% reduction in false positives and halved the median comments per pull request.