Generated UI can outrun the data model.
CodeFix
Audit your AI-built app before users touch it
CodeFix turns a fast AI-built prototype into a launch-readiness report with missing features, broken flows, security risks, and repair briefs.
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.tsNext: make webhook persistence idempotent, add paid-state recovery, then re-scan.
AI-built app risks checked
CodeFix separates symptoms from launch blockers.
Prompt fixes often skip hidden dependencies.
Production readiness is unclear until routes, auth, and config are mapped.
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.
Route and feature map
Risk-prioritized findings
Repair briefs
Quote range
Sample findings
The output is specific enough to scope repair work.
The app has a polished dashboard but no verified persistence for one core workflow.
Auth state is trusted in the client on a sensitive path.
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.