Code review tools, then and now
With all respect to the tools that built modern code review - CodeRabbit, SonarQube and Gerrit among them - they did their job in the old world, and they did it well.
CodeRabbit: AI comments on every pull request
CodeRabbit reviews each pull request with AI, summarising changes and flagging issues as they appear. It works at the level of the single change. AgenticReview works one level up: across the history, it shows whether the team steers the agents behind those changes - and compares it with the market.
SonarQube: rules, quality gates and security
SonarQube checks code against rules - vulnerabilities, code smells, coverage - and stops builds that fail a quality gate. AgenticReview scores the same kind of quality signals, and adds what rules cannot see: structure across the codebase and how people and agents work together.
Gerrit: structured human review
Gerrit gives teams a disciplined, vote-based review of every change. AgenticReview does not replace the review step; it measures whether review, planning and handover actually happen - and whether they keep up as agents add volume.
What an agentic review adds
An agentic review keeps everything code review scores, and adds the part that decides when agents write the code: guardrails before the agent starts, plans before it builds, review and correction after it delivers - scored per product, over time and against comparable companies. Your code never leaves GitHub.
Alternative code review methods
Pair programming, over-the-shoulder review, tool-assisted review, pull-request review and AI review all check a change before it ships. An agentic review checks the system that produces the changes - and works alongside any of them.