Developer builds specialized AI review agents to catch blind spots across backend and frontend code
A solo developer working on two separate repositories — a PHP backend and a Vue 3 + TypeScript frontend — identified a structural gap in their pre-commit code review process. While years of backend experience made that side of review second nature, frontend reviews consistently lacked the same depth and rigor. Inspired by a team's use of AI agents with versioned guidelines and specialized subagents, the developer designed a similar system tailored for personal, single-developer use. Rather than a single generic reviewer, domain-specific rule files were created for each repository, covering areas like architecture, resilience, type safety, and maintainability. The result is a set of decoupled pre-commit review agents that compensate for uneven expertise across stacks without relying on a second human reviewer.
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