CodeFix

Turn inherited AI-built apps into scoped rescue opportunities

Use CodeFix to turn inherited Lovable, Cursor, Bolt, or Replit projects into a proof-backed audit, repair-budget estimate, and fix-versus-rebuild decision.

acme/ai-marketplaceCodeFix evidence ready
main · 84 files mapped · spec coverage compared · no source stored
Repo map84 files
1Ingest
2Map
3Risk
4Proof
5Verdict
Evidence streamLive
PAY
Stripe webhook retries can leave paid users unentitledapp/api/stripe/webhook/route.ts
AUTH
Admin route lacks role guard on write pathapp/admin/projects/[id]/route.ts
SPEC
7 promised flows are not backed by tests or handlersspec coverage compare
SHIP
Missing production env validation before deploylib/systemReadiness.ts
Detailed proof02:41
Launch Readiness62/100
Security RiskHigh
Missing Features7
Production Blockers5

Highest leverage finding

Payment state can drift from app state

Checkout can succeed while booking and entitlement records remain incomplete after webhook retries.

$4,500 to $7,500
app/api/stripe/webhook/route.tssupabase/policies.sqltests/checkout.spec.ts
Next: make webhook persistence idempotent, add paid-state recovery, then re-scan.

Built for repair operators

CodeFix separates symptoms from launch blockers.

Client scope is unclear and every fix exposes new risk.

You need a defensible fix vs rebuild recommendation.

High-WTP leads need quote bands before a long discovery process.

What you get

A report that explains the risk and the next safe patch boundary.

Each finding has a plain-English founder summary plus technical evidence with affected files, recommended fixes, acceptance criteria, and regression cautions.

Lead scoring
Quote bands
White-label-ready structure
Deep review workflow

Sample findings

The output is specific enough to scope repair work.

Client scope contains launch-risk items that should be quoted separately.

Fix vs rebuild recommendation depends on auth, payments, and data-model evidence.

A high-WTP lead is flagged by urgency, payments, user data, and requested repair outcome.

Trust FAQ

Clear access boundaries before code is uploaded.

Do you support private repos?

Yes. CodeFix supports private GitHub repositories and ZIP exports. Repository access is used only to inspect the code needed for launch-readiness analysis.

Do you train models on my code?

No. Customer code is analyzed for the report and is not used for model training. Deeper proof runs through configured live analysis.

Can I delete my project?

Yes. Projects are built around delete-after-report controls and revocable access so uploaded code does not need to remain in the system longer than necessary.

What access do you need?

CodeFix needs source access or a ZIP export, plus any spec, PRD, screenshots, or notes that explain what the app should do and what is currently failing.

Launch-readiness report

Get the proof-to-ship plan before the next rebuild debate

Upload the repo and spec. Get the gaps, risks, repair scope, and repair-budget estimate before the next sprint decision.

Analyze my app
White-Label AI App Audit for Agencies | CodeFix