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Part 4: Building a Multi-Agent AI Code Review Pipeline

← Previous Chapter: Part 3: The AI Bug Taxonomy | Series Hub | Next Chapter: Part 5: AI Code Security → Answer-first: A multi-agent PR review pipeline deploys 3 specialized LLM agents in parallel: (1) Security Agent (OWASP vulnerabilities), (2) Architecture Agent (DDD layer boundary compliance), and (3) Performance Agent (SQL queries, memory allocations).

Part 3B: AI Code Review & Automated Quality Gates in CI/CD

Answer-first: Relying solely on foundation models for code review produces noisy, non-deterministic commentary that frustrates developers. A production AI Code Review Pipeline integrates deterministic AST linters (Semgrep) for syntax invariants with a Multi-Agent LLM-as-a-Judge consensus tier emitting standardized SARIF (Static Analysis Results Interchange Format) reports, slashing Pull Request review lead times from 28.4 hours to 2.1 hours. 📖 Bản tiếng Việt (Vietnamese Edition) | ← Series Hub | Next Chapter: Part 4: AI-Assisted Legacy Code Refactoring → ...