// AGT.CODE

AI code review agent — catches the bugs your team is too senior to notice.

A code review agent embedded in your GitHub / GitLab. Every PR gets a multi-perspective review: security, performance, idiomatic style for your stack, type-safety, test coverage. The agent reads diffs in context — it understands your codebase conventions because it indexed your repo first.

Built for teams whose seniors are too busy or too senior to catch the slow-burn stuff: classic concurrency races, leaked environment variables, slow N+1s, unguarded null returns. Run it alongside human review for two passes, or solo on docs-only PRs.

book_discovery_call() :: back_to_catalog() 15-min · no commitment · custom pricing
CAPABILITIES

What the agent does autonomously

01

Multi-perspective review: security, perf, idioms, types, test coverage

02

Language-aware: TypeScript, Rust, Python, Go, Java, C++, Kotlin, Swift

03

Codebase RAG: knows your conventions because it indexed your repo

04

Inline PR comments with autofix patches you can apply with a click

05

Block-by-default policy on critical findings (configurable thresholds)

06

Weekly reports: where bugs cluster, what to refactor next

USE_CASES

Three scenarios we've shipped

// SCENARIO.01

Team of 6 engineers shipping 30 PRs/week

Agent runs first-pass review in under 2 minutes per PR. Human reviewer focuses on architecture and trade-offs, not catching `await` you forgot in a Promise.all.

// SCENARIO.02

Solo founder with no team to review their AI-generated code

Catches the leaked API key your vibe-coding session committed at 3am. Saves the embarrassment of finding out via abuse alert next week.

// SCENARIO.03

Open-source maintainer reviewing 100s of community PRs

Agent triages: which PRs are spam, which are good, which need maintainer attention. Mainainer skips to the meaningful 10%.

STACK

The tech we use

  • 01 Anthropic Claude Opus 4.7 (deep reasoning over diffs)
  • 02 GitHub / GitLab / Bitbucket webhooks
  • 03 Your codebase indexed via tree-sitter + embeddings
  • 04 Pre-commit + CI integration (acts before merge)

We pick the stack that fits the problem, not the other way around. If you already have tooling we should integrate with, we slot in alongside instead of replacing.

FAQ

Questions we get a lot

How does the Code review agent integrate with our existing tools? +

It uses Anthropic Claude Opus 4.7 (deep reasoning over diffs), GitHub / GitLab / Bitbucket webhooks, Your codebase indexed via tree-sitter + embeddings and connects directly to your stack. You control it from Slack, your existing chat, or our custom UI — no rip-and-replace, no parallel systems to learn.

Do we own the Code review agent after you build it? +

Yes. We deploy in your infrastructure (your cloud, your accounts, your API keys). Once it's running you have full ownership. We offer ongoing tuning as a separate retainer if you want it, but it's not required.

How long does it take to deploy the Code review agent? +

Typical: 4–8 weeks from kickoff to first production action. Faster if your data is already clean; slower if we need to build integrations into legacy systems. We give a real estimate on the discovery call.

How much does the Code review agent cost? +

Build phase is typically $30K–$100K depending on integration complexity. Ongoing tuning + operations starts at $500/month. Pricing is per-engagement — we scope it on the first call. Book a 15-minute discovery to get a real number.

What if we already use Anthropic Claude Opus 4.7? +

Even better — the Code review agent is built to extend tools you already pay for, not replace them. We slot in alongside.

READY.TO_DEPLOY

Let's get the Code review agent shipped.

Discovery call is 15 minutes. We'll scope your integration, your data, and what success looks like. No commitment. No slide deck.