Every pull request read closely,
before a human spends time on it
Code review is where a team's standards actually get enforced, and also where senior time disappears into pull requests that turn out to be fine. A code reviewer agent reads every pull request first: style, obvious bugs, missing tests, patterns your team has flagged before. It comments inline and sorts what needs a human's attention from what does not. It never approves or merges anything itself.
The role today
A pull request waits for review, and the senior engineer who can give it a fast, accurate read is usually the same person with the fullest calendar. Review either happens late, which slows the team down, or happens fast and shallow, which lets small bugs and style drift through.
The second cost is that most of what a reviewer actually catches repeats: a missing null check, a test that was not updated, a naming pattern the team agreed to stop using six months ago. None of that needs a senior’s judgment, but it still eats their attention before they get to the one comment that does.
The third is inconsistency. Two reviewers apply the same style guide slightly differently, and a contributor gets conflicting feedback depending on who happened to be free that day.
What the agent takes over
The agent reads every pull request as it opens, checks it against your style guide, your linter rules, and a growing list of patterns your team has flagged in past reviews, and leaves inline comments on the diff itself. It tags severity so a reviewer can tell at a glance what is a nit and what is a real concern, and it keeps a weekly summary of recurring issues across the team, useful for spotting a pattern worth fixing at the source rather than catching it in every pull request.
It learns from correction: when a human reviewer overrides or adds to one of its comments, that becomes part of its rule set going forward, so the same miss does not repeat.
Typical scope: style and convention checks, missing or weakened tests, common bug patterns, dependency and security flags your team already tracks. Architectural review and product judgment are explicitly out of scope.
What stays with humans
Approval and merge authority never move. Your senior engineers still make the call on anything the agent flags as needing judgment, and they are the ones who decide whether a flagged pattern becomes a new rule. Building the initial rule set is collaborative - we start from your style guide and your team corrects it against real pull requests.
Guards
The agent comments; it does not approve, block, or merge. Every comment is tagged with the rule it is based on, so a reviewer can see why it was raised, not just that it was. Anything outside its rule set is left for a human rather than guessed at. Its comment history is logged per pull request for later audit.
Price and timeline
| Option | Price | What it covers | Timeline |
|---|---|---|---|
| Agency runs it | from $2,000 + support plan | Agent built, tuned and supervised by us, monthly rule set review | 1 to 2 weeks |
| Full control, handover-ready | from $3,400 | Same agent on your own git host and keys, documented rule set, your team maintains it | 2 to 3 weeks |
Running cost is usually $15 to $80 a month in model usage, depending on pull request volume.
Related
See the AI agents service page and development for the surrounding build. Within this group: coding agent with review for the agent that writes the changes this one reviews, QA and test agent, and critic and verifier agent for the same reject-by-default pattern applied beyond code. For a one-time setup of this as a project rather than a running agent, see automate code review. Real discipline behind this page: the seven-channel AI sales agent case study and the ProBay AI agent team case study.
Reviews piling up or inconsistent across the team? Get in touch and we will look at your actual review history first.
FAQ
How much does a code reviewer agent cost?
From $2,000 for one repository with a defined style guide, live in 1 to 2 weeks. Multiple repositories or languages usually run $3,000 to $4,500.
How long before it is reviewing real pull requests?
1 to 2 weeks: a few days to build the rule set from your style guide and recent review comments, then a week testing it against pull requests you have already merged, to check it would have caught what mattered.
Which tools does it connect to?
GitHub, GitLab or Bitbucket's pull request API, your linter configuration, and your CI results. It reads the diff and the ticket it relates to, the same context a human reviewer would have.
What if it flags something wrong, or misses something real?
Every comment is suggestion-level, not a blocker, until your team decides otherwise. Misses get added to its rule set the same week they are caught, the same way a human reviewer's judgment improves after a mistake.
Does it get write access to our repository?
No. It needs read access to the diff and comment-only access to the pull request. It cannot push commits, approve, or merge. Every comment it leaves is logged and attributable to the agent, not disguised as a human review.