Code review that catches the boring bugs
before a human has to
Pull requests pile up while reviewers are busy with their own work, and the comments that do land are often the same ten issues repeated for the hundredth time. We build an agent that reads every diff first, flags the boring and the risky, and leaves the judgment calls to your team.
The process today
A pull request sits open for hours before anyone looks at it, and the delay compounds because the next PR builds on the first one. Engineering surveys across mid-size teams commonly put median time-to-first-review anywhere from a few hours to more than a day, and that gap is where context gets lost: the author moves on, the reviewer forgets the details, and a second round of comments takes just as long to land as the first. Most of what a senior engineer spends that time on is not architecture, it is the same handful of issues: an unhandled error path, a missing test for the new branch, a style rule the linter should have caught, a hardcoded value that should be a config setting.
Security issues are the ones that hurt most when they slip through a rushed review. A secret committed by accident, a query built from unescaped input, a dependency bump that quietly drops a security patch: none of these need a human’s judgment to spot, they need someone to actually read the diff line by line every single time, which is exactly the part reviewers skip when the queue is long. Teams either accept the risk, or they slow releases down with mandatory multi-reviewer rules that create the same backlog from a different angle.
What the agent does
Reads every diff as soon as it opens. The agent pulls the pull request, the linked ticket or spec if there is one, and the relevant parts of the codebase around the change, then comments directly on the lines that matter instead of a generic top-level note.
Checks against your actual style guide and linters, not a generic best-practices list: your ESLint or Ruff config, your naming conventions, your team’s own patterns learned from merged pull requests.
Flags security patterns a linter misses, like a secret in a config file, an unescaped query, a missing input check on a new endpoint, or a dependency bump that touches a package with a known CVE.
Scores risk per diff so reviewers know which five pull requests in a queue of twenty need their full attention and which three are safe to approve on a quick read.
Flags test-coverage gaps before merge, pointing at the new branch or edge case that shipped without a test rather than a blanket coverage percentage.
Summarizes the change in plain language for a reviewer who was not in the original conversation, and posts a weekly digest of the issues that keep recurring across the team so a lead can fix the root cause once.
What stays with humans
The agent comments, it does not approve or merge. Every architectural tradeoff, every subjective style debate, and every decision to accept a risk the agent flagged stays with your engineers. Anything the diff touches around authentication, payments, data migrations or infrastructure config is routed straight to a human reviewer before the agent’s comments are even the main event. If a reviewer disagrees with a flagged issue, dismissing it takes one click and feeds back into the tuning.
Guards
A dry-run period before go-live, where the agent comments into a private channel instead of the actual pull request, so your team can check its judgment against real diffs before your own developers ever see an automated comment. After that, every comment logs the rule or the reasoning behind it, so nothing is a black box. Rate limits keep the agent from flooding a large pull request with noise, a kill switch pulls it off any repo instantly, and the routing rule for sensitive code (auth, payments, migrations, infra) is fixed before launch and does not change without you approving the change yourself.
Price and timeline
| Package | Price | Best for |
|---|---|---|
| Single automation | from $800 | One repo, one agent wired into your existing pull-request workflow and linters |
| Department package | from $2,500 | Code review plus several more development automations: test generation, release notes, log triage, documentation |
4 to 10 days for the first repo, most of it spent on matching your actual style guide and running the dry-run period so the first live comments are already tuned to your codebase.
Related
Pairs naturally with test generation, release notes and log triage and alerting for the rest of the development pipeline. Part of automation of everything digital and built the way we build AI agents for our own products. Two of our own projects ran under this level of review discipline: the AI sales agent with 846 unit and 48 integration tests and the Telegram game club with 428 automated tests.
Tell us which repos and languages are in scope and we will send back a fixed price and a plan for the first week: get in touch.
Tired of doing this by hand? We can take the whole routine off your team, not just this step: Routine takeover, from $400 →
FAQ
How much does an AI code review agent cost?
A single-repo agent wired into your existing workflow starts from $800. A department package covering code review plus several other development automations starts from $2,500, and the exact number depends on how many repos and languages are in scope.
How long does it take to go live?
4 to 10 days for the first repo: connecting to your git provider, matching your lint rules and style guide, and a short dry-run period where the agent comments but a human still checks every note before it ships.
Which tools does it connect to?
GitHub, GitLab and Bitbucket for pull requests, your existing linters and static analysis tools (ESLint, Ruff, SonarQube and similar), your CI logs for test results, and Claude for the logic and design issues that a rule-based linter cannot catch.
What if the agent gets a review comment wrong?
It posts a comment, not a merge decision, and every comment names the rule or the reasoning behind it so a reviewer can dismiss it in one click. We tune the rule set against your real pull-request history before launch to cut down on noise.
Is our source code safe?
The agent reads only the repositories you connect it to, runs under your own git provider's permissions, and we do not retain your code outside the review session. Keys and tokens are yours and can be revoked at any time.