Agentic code review in production: orchestration, evaluation, and the cost of being wrong

Short summary

Agentic code review means the system chooses which tools to invoke and arbitrates their findings, not a single model end-to-end. Production systems combine task-classification routing, fallback chains, and evaluation-driven A/B testing to balance cost, latency, and accuracy. False positives kill trust—deterministic analyzers, RAG-grounded findings, and closed feedback loops keep dismissal rates down.

• •Agentic vs. linter vs. single-model: the value is in routing and arbitration, not raw model capability
• •Three production routing strategies: task-classification, fallback chains, evaluation-driven A/B testing; production systems combine all three
• •False positives, not raw accuracy, determine whether teams trust the bot; deterministic analyzers + RAG + feedback loops keep rates manageable

Generated with AI, which can make mistakes.