The model needs code evidence, not a vague bug description.
VibeFix
Give AI coding tools the codebase context they actually need
VibeFix produces repair instructions with root cause, affected files, constraints, acceptance criteria, and regression cautions.
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.tsWhat better context includes
VibeFix separates symptoms from launch blockers.
Patch boundaries must name files to change and avoid.
Acceptance criteria must reflect product behavior.
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.
The prompt should include the webhook route, entitlement model, and affected UI state.
The fix should not regenerate the checkout page.
Trust FAQ
Clear access boundaries before code is uploaded.
Do you support private repos?
Yes. The intended production integration uses read-only GitHub access 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 read-only 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.