Autonomous Agents Reshape Pull Request Review in the Age of AI-Generated Code

As AI-generated code proliferates in development workflows, teams face the 'orchestration tax' where productivity gains in code generation are offset by mounting review complexity and reviewer cognitive overload. Autonomous agents with specialized personas, isolated execution environments, and strict safety guardrails provide a solution by acting as independent auditors to catch subtle bugs and security vulnerabilities. This architectural approach demonstrates how context separation and adversarial inspection can achieve trustworthy code review that neither human reviewers nor generative models alone can guarantee.