The QA leader your codebase never had.
Harvey checks your whole app — security, tests, performance, data, maintainability — and hands you one readiness verdict you can act on. It's the senior quality review you can't yet justify hiring for.
No database, no credentials, no production contact. Just point us at your repo.
You shipped fast. Do you actually know what you shipped?
No QA team, no senior lead reviewing every merge — just you and an AI that says the code it generated is fine. The result is a codebase you can't see the true state of: which tests can't catch a bug, where the data's exposed, what falls over at scale.
Most founders find out the hard way. To take one example: when researchers reviewed public apps built with AI tools, roughly one in ten was exposing user data — a blind spot no one on the team could see. Shipping fast was the right call. Harvey shows you the real state of what you built — before it costs you.
Security researchers who scanned 1,645 AI-built apps found roughly 1 in 10 exposing user data — CVE-2025-48757.
A scanner gives you noise. Harvey gives you a verdict.
You could buy a security scanner, a coverage tool, a perf monitor, and a linter — and still not know if you're ready. Harvey is the senior read that runs all of it and tells you what actually matters for your app.
The whole picture
Ten dimensions in one audit — security, tests, performance, data, maintainability — rolled into a single readiness verdict, not ten disconnected dashboards.
Judgment, not alerts
Ranked by what matters for your codebase — a senior read, not four thousand linter warnings you'll ignore. Every finding comes with the fix.
We prove it, live
Where it counts, we don't just flag — we stand up a copy of your stack and prove it. A cross-tenant leak isn't a warning; it's the row we shouldn't have been able to read.
Everything your tools do — plus what they can't.
Most teams already run these. Harvey covers all of it in one audit — then answers the questions none of them can.
| Your tools | What it does | Harvey |
|---|---|---|
| Snyk | Known-CVE scanning in your dependencies | ✓ |
| Dependabot | Flags vulnerable dependencies & names the upgrade | ✓ |
| ESLint | Static analysis of your source for code defects | ✓ |
| SonarQube | Code smells, duplication & coverage | ✓ |
| CodeRabbit | AI review of the code your AI wrote | ✓ |
That's the floor — Harvey does all of it. Then it does what none of them can:
| Question about your codebase | Tools | Harvey |
|---|---|---|
| Which of my tests can't actually catch a bug? | — | ✓ |
| Can one user read another's private data? | — | ✓ proven live |
| What will fall over when traffic scales? | — | ✓ |
| Where is unprotected PII sitting? | — | ✓ |
| One verdict across the whole codebase | — | ✓ 10 modules |
| Tells me what it did not check | — | ✓ |
Keep your tools — they're good continuous hygiene. Harvey answers a different question: is this codebase actually ready?
Everything Harvey checks before you scale.
No module is the headline. The deliverable is the true state of your codebase across all ten — a readiness verdict, not a single-issue report.
Access control & data security
Who can read and write what — auth boundaries, RLS, and cross-tenant isolation for multi-tenant apps.
Live pen-test
A real attack on a live copy of your stack.
Hotspot analysis
Where complexity and change collide.
Duplication
Copy-pasted logic that drifts out of sync.
Dead code
What's shipped but never runs.
Maintainability
Hand-rolled code with a better replacement.
Performance
N+1 queries, missing indexes, Core Web Vitals.
Test quality
Which of your tests can't actually catch a bug.
Server→client boundaries
Server→client leaks, server-action auth. Next.js, Remix, React Router 7, TanStack Start.
Data classification
Every piece of PII / PHI / PCI, and where it lives.
What we check, specific to how you built it.
The ten modules apply to any codebase. On the stacks AI tools generate most, Harvey goes deeper — a sample of the stack-specific checks:
Supabase
- Row-Level Security policy semantics — not just on/off
- service_role keys on client-reachable paths
- Storage bucket & auth configuration
- Postgres advisors, exposed schemas, function security
Next.js
- App Router server → client data leaks
- Server Action auth & input validation
- Middleware & route-handler authorization
- Env-var leakage, bundle size & Core Web Vitals
Vite / SPA
- Client-exposed env vars (VITE_*)
- Frontend-only auth guards — real authz is server-side
- API access & CORS configuration
- Bundle size & build output
Prisma / Drizzle / Postgres
- Tenant-scope & BOLA detection on Prisma and Drizzle queries
- No RLS safety net — isolation lives entirely in app code
- Live cross-tenant pen-test on a seeded Postgres instance
- PII/PHI/PCI mapped straight from schema.prisma
Prisma and Drizzle apps have no RLS to fall back on. There's no database-level tenant enforcement — the boundary between customers is whatever your query code enforces, or it isn't enforced at all. Harvey audits exactly that: static detectors that catch a query missing its tenant scope, plus a live pen-test that stands up Postgres, seeds two tenants, and tries to cross between them through your app — detection-gated, and proven end-to-end on a real Prisma codebase.
Harvey also recognises Kysely, TypeORM, Sequelize, Knex, Mongoose and raw SQL drivers, and routes them the same way. Where we don't yet have a dedicated tenant-scope detector for your query layer, the report says so by name rather than reporting silence as clean — the same rule that governs everything below.
Start free. The full audit goes where a scan can't.
Point us at your repo
Read-only access with git history, or a code archive. No database, no keys, no production contact. Same-day turnaround.
Get your readiness report
All ten modules over your source, in plain English, ranked by what matters — a read on what your code indicates, yours to keep whether or not you buy.
Go deeper
The paid audit does what source alone can't: stands up your stack and proves findings live, tests whether your tests actually catch bugs, and reviews your live database. Different depth — not more of the same.
What the free scan can't tell you.
The free scan reads your source and reports what it indicates. A whole class of findings doesn't exist until Harvey runs the deeper tiers — no amount of static analysis can surface them.
Proven broken access control
Free scan: flags a policy that looks like it lets users reach data that isn't theirs.
Harvey signs in as one user and pulls another's private records — the actual row they should never have been able to see.
Tests that can't catch a bug
Free scan: notes which tests exist and look thin.
Harvey runs mutation testing — breaks your code on purpose and reports which tests still pass anyway.
| What you actually get | Free scan$0 | Connectedfrom $500 | Full auditfrom $1,000 |
|---|---|---|---|
| Reads your source | |||
| Findings from every module source alone can run | ● | ● | ● |
| Coverage ledger: all ten modules, status and reason | ● | ● | ● |
| False positives triaged out | — | ● | ● |
| Fixes named, not just flagged | — | ● | ● |
| Reads your production database | |||
| Live database + Supabase advisors + migration drift | — | ● | ● |
| PII protection verified in production | — | ● | ● |
| Stands up & attacks your app | |||
| Cross-tenant access proven on a live stack | — | — | ● |
| Points out tests that pass even when the code is broken | — | — | ● |
| Auth, endpoint & service-seam attacks | — | — | ● |
The free scan is a real ten-module read of your source. Connected adds your live database; Full adds standing up and attacking a running copy — the only way to prove a flaw instead of flagging it.
No "book a call to hear the price."
Publishing prices is deliberate — most boutique auditors hide them behind a call. Pricing scales with your codebase size, so a weekend project and an enterprise monorepo never pay the same.
- Source-only, no credentials
- Static findings + a ten-module coverage ledger
- Same-day, yours to keep
- All ten modules, reviewed with real verdicts
- Live database: RLS, Supabase advisors, prod-vs-migration drift
- PII protection verified in production
- Read-only access — nothing stood up
- Everything in the Connected audit
- We stand up your stack and attack it live
- Cross-tenant access & auth flaws proven
- Mutation-tested tests + investor-ready summary
Findings to tickets. We file every finding as an issue in your tracker — GitHub, Jira, Linear, GitLab, or Azure DevOps — deduped against your last audit, so your team fixes from their own board.
| Codebase size · measured automatically | Free scan | Connected | Full audit |
|---|---|---|---|
| Small · under 10k lines | $0 | $500 | $1,000 |
| Medium · 10k–50k lines | $0 | $1,500 | $3,000 |
| Large · 50k–150k lines | $0 | $3,500 | $7,000 |
| Enterprise · 150k+ / monorepo / regulated | $0 | Custom | Custom |
We measure your codebase size during the free scan and quote from it — generated and vendored code doesn't count. Launch pricing; for context, source-only "vibe-code" audits run $1,500–$5,000 and a traditional pentest $4,000–$12,000 regardless of app size.
Harvey tells you what it didn't check.
An unstated limitation reads as a clean bill of health. So every Harvey report carries a coverage ledger — each module, its status, and the reason if it couldn't run. No silent gaps.
It goes past modules. If your repo holds infrastructure code, source in a language our rules don't read, or a framework we don't yet model, the report names it and counts the files rather than staying quiet. What we couldn't assess is stated, not implied.
Find out what's actually in your codebase.
Source-only, no credentials, yours to keep — then see what the full audit can prove that a scan can't.