Atmobot · code & app review
We find what your app gets wrong — and we prove it.
A fixed-price review built for software that shipped fast: AI-generated code, backend-as-a-service apps, anything that got to market quicker than it got verified. Security and correctness both — every finding checked at the source and reproducible, not a scanner’s guess or an AI’s hunch.
The problem
Speed hides two kinds of holes. Neither shows up in the demo.
Security exposure
Where your data leaks
- the public API key sitting in the browser bundle
- access rules that don’t do what you think
- database functions that quietly bypass your own policies
- one customer’s data a single request from another’s
Common on Supabase, Firebase and other backend-as-a-service stacks — but not limited to them.
Correctness
Where your logic costs you
- a payout path that can’t actually pay anyone
- an admin action that changes a balance with no audit trail
- two flags that both read “true” and disagree
- the money math that’s off by one edge case
Most dangerous anywhere real money moves.
Either way, it surfaces when someone else finds it — and by then it’s a breach or a bad number, not a bug.
How it works
The model is the easy part. This is the part that’s hard.
Map first, don’t guess
We build a map of your whole codebase before we review a line, so the work runs off the real structure — not off whatever happened to fit in a context window.
Cover everything
We work through it in risk-tiered slices against a coverage ledger. Every file is accounted for. It’s a review of your system, not a sample of it.
Prove every finding
Each issue is reproduced at the source before it makes the report. If we can’t reproduce it, it doesn’t ship — a short list of real problems, not a pile of maybes.
A human owns the verdict
The tooling does the heavy lifting; a person decides what’s real and what actually matters to you.
Why not just use Claude, or a scanner?
Fair question. The honest answer is what makes this worth paying for.
Claude · ChatGPT · Copilot
We use frontier models too — that isn’t the moat. Used raw, an AI reviews only what fits in its window, has no memory of the rest of your codebase, and will confidently report bugs that aren’t real. The hard part is whole-codebase coverage and every finding proven.
Snyk · SonarQube · Semgrep
They pattern-match known rules, so they miss the logic that actually costs you — the payout that can’t pay, the balance changed with no audit — and bury the few real issues under false positives you still have to triage. We read the actual logic and hand you a short, proven list.
One diff at a time
Those look at one diff at a time, with no view of the whole system and no verification. We review the system, and we prove what we find.
The proof
Trust, not noise. Two recent reviews.
Both examples anonymized — no client named. Figures are from real reviews.
More than a one-time review
Three ways to put Atmobot on your code.
The review
A one-time, fixed-price read of your whole app. The front door.
from $2,500Ongoing review
Atmobot as a standing set of eyes on every change — not a once-a-year audit.
scoped to youCustom workflows
Verification tuned to your stack and your own rules, running on every change.
scoped to youEvery engagement is fixed price, scoped in writing before the first hour — no hourly surprises. Want the holes closed? Remediation is scoped the same fixed way.
Looking to map how work flows across your whole operation, not just the code? That’s our SDLC & operational audit — a broader engagement that sits alongside the code review.
Questions
Straight answers
Isn’t this just Claude reviewing my code?
We use frontier models, yes — but raw, they miss most of your codebase and invent findings. What you’re paying for is whole-codebase coverage and every finding proven. That’s the hard part, and it’s the whole product.
Do you only review security?
No — security and correctness both: the exposure that leaks data, and the logic bugs that cost money.
How is this different from a scanner?
Every finding is read and proven by a human, with reproduction steps. You get a short list of real issues, not a wall of false positives.
What do you need from me?
Read access to the codebase. That’s it to start.
Do you fix what you find?
Optionally, scoped the same fixed way after the review. Ongoing review is available too.
Better a bug than a breach
Send us your repo. We’ll tell you exactly where you stand.
Better a bug than a breach — or a bad number. Every finding proven at the source, a short list you can act on, and a fixed price agreed before the first hour.