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What is an AI code review agent?

An agent that reads every pull request and every changed database object against your team’s written engineering standards, records the defects it finds, and tracks each one until a developer fixes it. It never merges or pushes code. Merge decisions stay with your team.

The review happened. The fix did not.

  • Findings read, agreed with, and left

  • No record of which comments actually closed

  • A standards document people cite rather than follow

So the same defect ships twice, and the review time bought nothing.

Six agents, one role

Merge review agent

Every pull request is reviewed before a human opens it.

How it works
  • Reviews against your own standards file, not a generic rubric
  • Names the defect, the line and the reason
  • Runs on the merge, before review time is spent

Database review agent

The stored procedure that became a table scan gets caught.

How it works
  • Reads only the procedures and tables that changed
  • Checks security, scalability, simplicity and excess joins
  • The layer that lives outside your repository

The audit ladder

The finding gets fixed, instead of getting read.

How it works
  • Three reminders, three days apart
  • Each one widens the audience by a rung
  • Still open after nine days, it is marked overdue

Auto-close agent

Nobody ticks off defects that were fixed on Tuesday.

How it works
  • A later review of the same file closes it
  • One click closes it from the reminder itself
  • Closed findings stay in the record

Severity gate

Only what is worth an interruption interrupts anyone.

How it works
  • Major, blocker and critical enter the ladder
  • Minor observations stay in the report and chase nobody
  • You set where that line sits

Weekly developer report

A quiet week shows as a zero, not as silence.

How it works
  • Commits, files, lines and repositories, per developer
  • Everyone on the roster appears, including the zeros
  • Deterministic — no model, no token cost

Ready to see it in action?

Point us at one repository — we’ll review last month’s merges and send you the findings.

Or call +91 95525 86428

Before and after

Today

  • Review depth

    Whatever time allows

  • Database changes

    Reviewed by nobody

  • After the comment

    Hope

  • Team visibility

    Asked in standup

With the agent

  • Review depth

    Every merge, same rubric

  • Database changes

    Reviewed daily

  • After the comment

    Nine days of follow-up

  • Team visibility

    Mailed every Monday

Who does which step

  1. 1AI agent

    Merge opened

    Picked up within minutes.

  2. 2AI agent

    Reviewed

    Against your standards, not a default.

  3. 3AI agent

    Reported

    Findings mailed, each one tracked.

  4. 4Your team

    Fixed

    The part nobody is replacing.

  5. 5AI agent

    Verified

    Closed when the defect is gone.

Where it stops It never merges, never pushes and never rewrites your code. It reviews, reports and follows up — the commit is always yours.

Nine days, three rungs, then overdue

  1. Day 0 — reviewed

    The merge is reviewed and every finding is recorded.

  2. Day 3 — the developer

    First reminder, to the person who wrote the code.

  3. Day 6 — the leads

    Second reminder, with the repository leads copied in.

  4. Day 9 — escalation

    Final reminder, with your escalation list copied in.

  5. After day 9 — overdue

    Marked overdue. Mailing stops; the finding stays open.

The scale behind these agents

120+

AI agents and automations running in our own production

100%
Platform uptime
500+
Customers worldwide
2
Cloud regions, monitored 24×7

Before you commit

Does our source code leave our network?

It does not have to. The agent runs on your infrastructure, inside your network, against your repositories. If you would rather it ran on hosted infrastructure instead, we will say exactly which model sees what and where it runs, before you commit to anything.

Is this replacing our reviewers?

No. It reviews before a human does, so your reviewers spend their time on design and intent rather than on naming conventions and missing indexes. It has no merge rights and never will.

What standards does it review against?

Yours. We start from your existing standards document, or write one with your leads in the first week if there is not one. A generic rubric produces generic findings that teams learn to ignore.

Does it really review databases too?

Yes, and it is the part most teams have no coverage for. It reads the stored procedures and table definitions that changed since the last run and reviews those for security, scalability and excess joins — the layer that never appears in a pull request.

What stops it filing forty trivial comments on every merge?

The severity gate. Only major, blocker and critical findings chase anyone; minor observations stay in the report for reference. You set where the line sits, and you can move it once you have seen a month of output.

What happens to a finding nobody fixes?

It escalates on a fixed ladder — the developer, then the leads, then your escalation list — and is then marked overdue and stops mailing. It stays open in the record, so the count of overdue defects is a number you can actually manage.

Free presentation · 13 slides · PDF

Take the deck to your leadership team

The presentation we walk boards and CXOs through — thirteen slides on what deploying AI agents actually involves, from the roles to the guardrails to the commercials.

  • 22 AI employee roles across 9 departments
  • Eight department packs, and the agents inside them
  • One day from first conversation to one agent live
  • Three commercial models, and what each includes
Download the deck

No cost. Work email and organisation only.

Start with one repository.

See the findings on your own code before you decide anything. The Readiness Sprint scopes the rest.

Book an Agent Readiness Sprint

Or call +91 95525 86428

Free · 17 slides · PDF

Before you go: meet your 22 AI employees

Which jobs AI can take off your team, and where your people stay in charge.

  • 22 AI employees across 9 departments
  • Input → AI → result, for every role
  • Where your people always decide
  • How to go live in one day

Instant download. Three fields.

No cost. Work email and organisation only.

Book a demo

See the review agent on your own repository