API handlers accept unsafe or incomplete inputs.
VibeFix
Audit a Python AI-built app for launch readiness
VibeFix checks FastAPI and Python services for broken flows, security-sensitive handlers, production blockers, and repair sequencing.
Highest leverage finding
Payment state can drift from app state
Checkout can succeed while booking and entitlement records remain incomplete after webhook retries.
app/api/stripe/webhook/route.tssupabase/policies.sqltests/checkout.spec.tsPython audit coverage
VibeFix separates symptoms from launch blockers.
Auth dependencies are inconsistent across routes.
Deployment and logging assumptions are not launch-ready.
What you get
A report that explains the risk and the next patch boundary.
Each finding has a plain-English founder summary and expandable technical evidence with affected files, recommended fixes, acceptance criteria, and regression cautions.
Sample findings
The output is specific enough to scope repair work.
A protected route misses the shared auth dependency.
Exception paths return generic success-like responses.
Trust FAQ
Clear access boundaries before code is uploaded.
Do you support private repos?
Yes. The intended production integration uses transient GitHub archive ingestion for private repositories. ZIP exports are also supported for Lovable, Bolt, Replit, and similar tools.
Do you train models on my code?
No. The product promise is analysis only. Customer code is not used for model training, and deeper review runs through RubberDuck semantic analysis.
Can I delete my project?
Yes. V1 is designed around delete-after-report controls and revocable repo access. Production storage should enforce deletion and retention policies.
What access do you need?
VibeFix needs source access or a ZIP export, plus any spec, PRD, screenshots, or notes that describe what the app should do.
Launch-readiness report
Turn the app into a launch plan
Upload the repo and spec. Get the gaps, risks, prompt pack, and repair quote before the next sprint decision.