If a rule only lives in your prompt, it's not a rule. It's a request.
We diagnose vibe-coded and AI-assisted applications for the silent failure modes that pass automated tests, deploy cleanly, and quietly break under real users, billing cycles, or cross-tenant traffic.
Why "it deployed fine" is the most dangerous state in software
AI coding tools are designed to be agreeable. When given an ambiguous system constraint, they generate code that satisfies the prompt's English syntax without verifying the underlying database or network state.
- ✓ Syntax compiles cleanly without parse errors
- ✓ Local dev server boots and renders mock screens
- ✓ Single-user manual click-through works as expected
- ✓ Git push triggers successful Vercel/Netlify build
- ✕ Tenant Bleed: Supabase/Firestore rules allow any authenticated user to query another user's private data.
- ✕ Prompt Rules: Authorization or validation logic that was told to the model in text, but never asserted in code.
- ✕ Duplicate Submissions: Stripe or booking webhooks firing twice and creating double records.
- ✕ Timezone Drift: Date cutoffs calculated at day granularity in UTC instead of user local time.
Audit your repo right now — zero code leaves your machine
You don't need to give us your GitHub repository. Copy our 6-checkpoint diagnostic prompt into Cursor, Claude Code, or Copilot. It scans your files locally.
You are performing an adversarial diagnostic audit on this repository. Check ONLY for the six failure patterns below, one at a time. For each checkpoint, report: (1) whether you found it, (2) the exact file and line number, (3) why it is a silent risk in plain language, and (4) the exact deterministic code fix. If nothing is found for a checkpoint, say "NOT FOUND" plainly — do not invent issues. 1. HALLUCINATED SCHEMA OR DEPENDENCIES: List every database column, table, and external package this codebase references. Cross-check against schema definitions (Prisma/SQL/migrations) and package.json. Flag anything referenced but not defined. 2. MIGRATION & SCHEMA DRIFT: Check the deployment pipeline. Does every schema modification guarantee a migration runs before new code restarts, or will running code hit unmigrated live tables? 3. RULES LIVING ONLY IN PROMPTS: Find every instruction sent to an LLM. Check whether business rules (permissions, verification, validation) described in the prompt are ALSO strictly enforced by deterministic code assertions. 4. MULTI-TENANT ACCESS & AUTHORIZATION: Find every database query and API route. Verify whether the code checks ownership (e.g. auth.uid == resource.ownerId) or if it trusts an ID supplied in the request body/params. 5. DATE & TIMEZONE BOUNDARIES: Find date comparisons (expiry, availability, subscriptions). Check if logic relies on day-level comparisons or UTC without local timezone conversion. 6. DUPLICATE-WRITE & IDEMPOTENCY: Find endpoints that record orders, payments, or bookings. Check whether concurrent submissions or retried webhooks create duplicate rows.
The 6 checkpoints grounded in real post-mortems
Every check in our procedure was derived from real incidents documented across indie SaaS builders, vibe-coders, and production failures.
What a Quietfail Audit Report looks like
No 50-page generic compliance jargon. You receive a concise 1-page action report: What was found, where it lives, the real production cost, and the exact code patch.
// VULNERABLE: AI-generated rule checking only authentication, not ownership
match /orders/{orderId} {
allow read, write: if request.auth != null;
}
// VERIFIED: Enforce tenant ownership at the database boundary
match /orders/{orderId} {
allow read, write: if request.auth != null &&
(resource.data.customerId == request.auth.uid || request.auth.token.admin == true);
}
Three non-invasive ways to work with us
You never have to hand over proprietary code or give GitHub access to a stranger. Choose the inspection model that matches your privacy comfort.
- Zero code leaves your computer
- 100% confidential
- Plain-language remediation
- No repository access needed
- Real API adversarial testing
- Video proof of vulnerabilities
- Structural architecture check
- RLS & foreign key verification
- Webhook idempotency audit
Request a free diagnostic review
All audits are currently performed by hand at no cost for Dorm2VC cohort candidates and indie builders. All we ask in return is five honest minutes of feedback.
Grounded, independent, and student-founded
quietfail was founded by Abhilash Eggadi, an engineering student at NIT Warangal, incubated as part of Dorm2VC Cohort 1.
We started with a simple hypothesis: AI coding tools are extraordinary at generating functional prototypes, but structurally blind to subtle edge cases, multi-tenant boundaries, and unmigrated state. Rather than selling promises, we do every review by hand against real failure post-mortems.
Have a question or want to chat about failure patterns?
Email: abhilasheggadi@quietfail.me
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