You shipped fast with Cursor, Lovable, Bolt, Replit, v0, or Claude Code. Before real users and real money touch it, we audit the security, architecture, and scalability of your codebase — then fix what is broken and get you launch-ready. An audit that ends with a production-ready app, not just a PDF of problems.
Security, architecture, scalability, and the production basics most vibe-coded apps skip.
Exposed API keys, hard-coded secrets, disabled row-level security, unverified webhooks, and missing backend auth — the holes AI-generated code ships by default.
N+1 queries, missing indexes, broken data models, and the design decisions that work for ten users and fall over at ten thousand.
Tests, error handling, logging, rate limiting, CI/CD, and monitoring — wired in so your app fails safe instead of silently.
Cursor, Lovable, Bolt, Replit, v0, Claude Code, GitHub Copilot — we read the code that shipped, not the prompts that wrote it.
Remediation measured in developer-days. Secrets rotated, auth added, RLS enabled, queries indexed, tests written. Production-ready, not just reviewed.
Every finding rated critical to low and explained so a non-engineer founder gets it — paired with a clear, prioritised remediation plan.
No discovery phase that never ends. Each step has a deliverable, a date, and a demo.
You grant read access. We scope the codebase, stack, and the AI tools it was built with — usually within 24–48 hours.
Senior engineers — not an automated scanner — review security, architecture, scalability, and code quality against a production checklist.
A severity-ranked findings report plus a live walkthrough call. You leave knowing exactly what is risky, why, and what it costs to fix.
We fix the findings — secrets, auth, RLS, indexes, tests, monitoring — and get you launch-ready, typically in 2–4 weeks.
Cursor, Lovable, Bolt, Replit, v0, Claude Code, Copilot — stack-agnostic review.
Security first: secrets committed to the repo, missing authorisation checks on endpoints, unvalidated input reaching queries, and dependencies with known advisories. Generated code leaks credentials more often than hand-written code because the model happily inlines whatever it saw in an example. Then architecture: how many patterns are competing in the codebase, whether the data model will survive the next three features, and where the coupling will bite.
Then the things that determine whether you can operate it — test coverage on the paths that matter, error handling on the negative paths generated code habitually ignores, observability, and whether a rollback exists. We finish with a written remediation plan ordered by risk, which you can hand to any team including one that is not us.
Plausible-but-wrong code that compiles, passes a happy-path test and fails on an edge case nobody enumerated. Architectural drift, where each feature was built in whatever pattern the model reached for that day, so six weeks in there are three ways of fetching data. Dependency bloat — we have audited MVPs with ninety direct dependencies where twenty-five would have covered it. Missing negative paths, because generated code is optimistic about timeouts and partial writes. And no observability, so the app works until it does not and nobody can say why.
Usually saved, and cheaper than founders fear. If the data model is sound and the product logic is correct, the work is hardening rather than rewriting — add tests around the paths that matter, fix the auth boundary, consolidate the competing patterns, and put observability in. That is typically two to four weeks.
Rewrite when the data model is wrong in a way that touches everything, when authentication and authorisation were never designed, or when the app has no tests and behaviour nobody can specify. We will tell you which one you are looking at in the audit rather than after selling you a rebuild.
A vibe code audit runs $6k-$15k over one to two weeks depending on codebase size. You get a written report covering security, architecture, test coverage and operational readiness, a risk-ordered remediation plan with effort estimates, and a walkthrough call. The report is yours and vendor-neutral — plenty of clients take it to their own team.
A 30-minute call. We'll talk scope, timelines, and what a realistic first release looks like. NDA signed before we start.