Next-gen code reviewAgents write your code. How well do you steer them?

Everything classic code review scores - plus how well your team steers its coding agents. First review free, no sales call.

See an example report ->

Connect GitHub, pick your repos, get your report. No sales call.

Why your code review is obsolete
Your code never leaves GitHubEU LLM processingTeams, never individualsQuality scored. Design choices never judged.

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Report previewSample AgenticReview report. Total score 7.5 out of 10 against a global median of 7.0, from 34 signals. The trend line rises over six months, from May to today. Four composite indices on a scale from 0 to 10: Capacity 8.0, Composable 8.0, Craftsmanship 8.0, Cooperation 6.0.TOTAL SCORE7.5/ 10Global median 7.0from 34 signalsLAST 6 MONTHSmedian 7.0MayJunJulAugSepTodayCOMPOSITE INDICESCapacity8.0Composable8.0Craftsmanship8.0Cooperation6.0
Report previewSample AgenticReview report. Total score 7.5 out of 10 against a global median of 7.0, from 34 signals. The trend line rises over six months, from May to today. Four composite indices on a scale from 0 to 10: Capacity 8.0, Composable 8.0, Craftsmanship 8.0, Cooperation 6.0.TOTAL SCORE7.5/ 10Global median 7.0from 34 signalsLAST 6 MONTHSmedian 7.0MayJunJulAugSepTodayCOMPOSITE INDICESCapacity8.0Composable8.0Craftsmanship8.0Cooperation6.0

Why now

Your code review is obsolete

Code review was built for a world where humans wrote the code. That world is gone.

What you get

The machine delivers, the human intervenes

Four dimensions - per project and company, over time and against the market.

How it's produced

Built on data, not opinions

- organisations analysed across seven regions, and growing.

AI code review - questions and answers

What is the next generation of code review?

Code review used to check code that humans wrote: is it secure, tested and maintainable? The next generation keeps that, and adds what decides when agents write most of the code: whether the team steers them - guardrails, plans, review and handover - so the system stays composable and can scale.

Does it work with Claude Code, Codex, Cursor, Copilot and Lovable?

Yes. AgenticReview reads the git history, independent of the tool. Commits made by agents are counted and attributed to the people who steer them - whether you use Claude Code or Codex as your agent, and Cursor, Copilot or Lovable around it.

How is it different from CodeRabbit or SonarQube?

With all respect to them - they review single changes and check code against rules, and they do it well. AgenticReview scores the same quality signals across the whole history, adds how people and agents work together, and shows it over time, between projects and against comparable companies.

Can leadership see whether our AI-built software will scale?

Yes. Every review shows a total and four dimensions per project and for the company, month by month: whether teams build on a composable structure that scales, or pile AI-generated code into a proof-of-concept swamp - skyscrapers on quicksand, spaghetti in the backend.

Does AgenticReview store or read our source code?

The review runs on GitHub's own runners with read-only access. Your code is analysed in memory and discarded when the run ends. Only derived metrics leave GitHub, and they are stored in the EU. No source code, file contents or commit messages are stored, and none are used to write the analysis.

What does it cost, and can we get a refund?

The first review every month is free, up to 10 repositories. Premium Bronze is $20 per month for 5 reviews of up to 20 repositories each; Silver and Gold cover more reviews and larger products. Six-month and yearly plans are discounted. Prices exclude VAT. Every paid plan comes with a 14-day money-back guarantee, and you can cancel at any time - the plan then runs to the end of the period you have paid for, including discounted six-month and yearly plans.