An eight-point audit for solo founders, indie hackers, and pre-launch teams who shipped a vibe-coded MVP and now need it to not fall over the moment users show up.
// the gap
The code runs on your laptop. It even runs on Vercel. But what happens when 5,000 people show up at once, a database query goes rogue at 3am, or someone finds the unguarded admin route the model wrote three weeks ago?
No logs, no metrics, no alerting. When something breaks, you find out from an angry user on Twitter — if you're lucky.
Prompt-injected SQL, exposed env vars, public Supabase keys, missing auth on routes the model "thought were internal".
Six months in, every change breaks two other things. The fastest way forward is to rewrite. The audit shows you what to refactor first.
// what we audit
Every dimension is scored 0–100, with a prioritized list of issues, severity ratings, and concrete fixes you (or your AI) can ship as PRs.
Dead code, duplication, type safety, naming consistency, dangerous patterns, lint gaps.
eslint · ruff · ts-strictTest coverage, critical-path coverage, flaky tests, missing edge cases, no-test-at-all reality checks.
unit · e2e · integrationAuth gaps, exposed secrets, input validation, SQL/NoSQL injection, OWASP top 10, leaky API routes.
authz · secrets · OWASPModule boundaries, cyclomatic complexity, file size, documentation, "what does this even do" smell.
cohesion · complexityLogs, metrics, traces, error tracking, alerting, SLO readiness. Can you tell something's broken before users do?
logs · metrics · tracesN+1 queries, missing indexes, blocking I/O, bundle size, caching strategy, what dies at 10× traffic.
queries · caching · bundleCoupling, layering, state management, leaky abstractions, what to refactor before it's a rewrite.
coupling · layersBuild pipeline, deploy reliability, environment parity, rollback story, secret management, branch hygiene.
CI · deploys · envsIdle resources, oversized instances, untuned databases, unnecessary third-party SaaS, the bill at 100× scale.
infra · SaaS · scale// how it works
No long discovery calls. No endless intake forms. Send the repo, we send back the report.
GitHub, GitLab, or a zip drop — read-only access only. NDA available on request. We never train on your code or share it.
Senior engineers run a guided audit alongside best-in-class tooling. No AI rubber-stamping — every finding is reviewed by a human who has shipped this stuff for a living.
A scored report, a ranked list of issues by severity, and a step-by-step implementation plan you can hand to yourself, your team, or your AI to ship.
// sample report
Names redacted. Findings real. This is what shows up in the first ten pages.
The full SERVICE_ROLE_KEY is imported into client code, bypassing all row-level security. Anyone who opens DevTools has god-mode on your database.
The checkout route has a try/catch that logs to console.error and returns a generic 500. There's no Sentry, no log aggregation, and no alert. You have no idea this is firing.
For each project the dashboard fetches members one row at a time. At 50 projects you're firing 51 queries serialized. A single join brings p95 under 120ms.
strict: false was committed three months ago, and there's no CI step running tsc --noEmit. Roughly 280 untyped anys have crept in since.
A read replica was provisioned during testing and never attached to a connection pool. It's been sitting empty for 90 days at production tier.
// what you get
Every audit ships with the same four deliverables — built so a non-technical founder, a vibe coder, or a senior engineer can all pick it up and move.
Nine dimensions, 0–100 each, with an executive summary you can show your investors, cofounder, or yourself at 2am.
Every finding ranked by severity and impact, exported as a CSV / Linear / GitHub issues import. Ready to drop into your tracker.
Step-by-step fixes written to be pasted into your AI of choice. Each step has acceptance criteria so you know it's actually done.
One of our engineers walks you through the report end to end. Bring questions, hangovers, your cofounder — whatever helps.
// who it's for
You shipped your first $1k MRR with Cursor and a coffee. Now real users are stress-testing things you never thought about.
You don't read code, but you raised on the prototype. Before you hire your first engineer, find out what they're walking into.
Launch is in three weeks. You'd rather hear "this will break" from us than from Hacker News at 9:47am the morning of.
// faq
Read-only access only — to a temporary user we ask you to revoke after delivery. NDAs available on request. We do not train on your code, share it, or keep copies after the audit closes. Encrypted at rest, deleted within 30 days.
Anything mainstream: Next.js, React, Vue, SvelteKit, Remix, Node, Python (Django/FastAPI/Flask), Go, Ruby on Rails, plus typical stacks around Supabase, Postgres, Redis, Vercel, Render, AWS, GCP. If you're on something exotic, ask — we'll tell you honestly whether we're the right fit.
Three to five business days from the moment we have repo access. Larger codebases (>50k LOC) may need a week — we'll tell you up front.
The audit hands over a complete implementation plan you (or your AI) can execute. If you'd rather have us do the fixes, we offer a follow-up engagement priced separately. Most clients ship the criticals themselves and bring us in for the harder architectural work.
It depends on codebase size, stack complexity, and turnaround. Every engagement starts with a free scan and a transparent quote — no commitment until you've seen what we're going to deliver.
A 24-hour automated pass that produces a one-page summary across all nine dimensions. It's not the full audit — it's enough for you to decide whether the deeper engagement is worth your money.
Drop your repo. We'll send a one-page scan summary across all nine dimensions within 24 hours. No card required.
Check your inbox in the next few minutes for a confirmation. Your one-page scan summary lands within 24 hours — usually sooner.