Agentic Code Review: Pattern Matching for AI

As AI agents generate more code, review bottlenecks emerge. A practical solution is to document team conventions as structured pattern files (with anti-patterns, structural trees, and real-file references) in a docs/patterns/ directory, then bundle them into a .github/copilot-instructions.md routing file. GitHub Copilot uses this to flag violations in PRs automatically. Developers can also run local checks before pushing by prompting their AI agent to diff against main and verify patterns. The same documentation enables AI agents to auto-fix violations and implement new features correctly from the start, turning tribal knowledge into machine-readable rules that scale alongside agentic code output.