Part 4: Multi-Agent Review Pipeline — AST Analysis, Adversarial Challenger & CI Automation
Answer-first: Automating AI code review requires a multi-agent Generator-Critic architecture where specialized review agents independently audit pull requests for structural invariants, security threats, concurrency race conditions, and performance regressions. By coordinating these specialist models within GitHub Actions using Model Context Protocol hosts and enforcing strict consensus gates, engineering teams eliminate review fatigue and prevent flawed machine code from reaching production. Prerequisite: Advanced understanding of continuous integration pipelines, GitHub Actions workflow orchestration, webhook payload verification, distributed consensus scoring, and containerized runner isolation is required for this chapter. ...