GRIFFAIN AI · CODE REVIEW

We find the vulnerabilities.
We write the fixes.
We ship the patch.

$750 — $10,000·Express to Build · Audit-and-fix model
myapp.lovable.app/admin
Security:Unknown
Last review:Never
Auth:Vibes-based
Dependencies:Outdated (probably)
Secrets:In .env... or was it the repo?
Costing you trust, investors, and users
myapp.com/admin
P0 RESOLVEDJWT stored in localStorage → moved server-side
P1 FIXEDRate limiting added to /api/users
P2 FLAGGEDBundle size 3.2MB — split suggested
ALL FINDINGS5 P0, 8 P1, 12 P2
Audited. Fixed. Safe to ship.

91.5% of AI-generated apps have at least one exploitable P0 vulnerability.

Most vibe-coded apps were built for speed, not security. That's fine — speed is how you get to product-market fit. The audit is how you find out what it'll cost you if the wrong person looks at your database. And unlike audit-only services, we don't hand you a PDF and walk away. We write the fix. We ship the patch.

91.5%
Vibe-coded apps with exploitable P0/P1
Based on internal review of 48 AI-generated codebases.
P0
Severity threshold fixed in-engagement
Every critical finding patched before the engagement closes.
48 hrs
Average Standard tier delivery
From repository access to signed-off findings report.

What ships with every engagement.

Scope adjusts by tier
Codebase Intake
Full repository ingestion across 8 categories. We map the surface area before the first finding is written.
Defined before any finding is written
Auth & Session Audit
JWT handling, token storage, session expiry, protected routes, OAuth flows. The category that breaks fastest.
Data Validation Audit
User input paths, type coercion, SQL injection surface, schema constraints, missing sanitization layers.
API Surface Audit
Endpoint design, rate limiting, error propagation, response consistency, unauthenticated access paths.
Environment & Secrets Audit
Plaintext secrets, .env coverage, hardcoded credentials, git history exposure, misconfigured CI variables.
Performance Baseline
Bundle size, code splitting, image optimization, load patterns, Lighthouse scoring. Not security — but it matters.
Dependency Risk Report
CVE scan, outdated packages, abandoned libraries, license conflicts, version pinning gaps.
Remediation Report + Debrief
Every finding: exact file, exact line, exact fix. Prioritized P0→P3. 60-minute debrief call included.
Exact file + line
Specific fix code
Priority order
60-min debrief

Three scopes. One diagnostic to find the right one.

First payment before work begins
Express
1–2 days
$750–$1,500
100% upfront

Single module audit. One category, specific findings, exact fix code.

  • One audit category
  • Specific findings
  • Fix code included
  • Async delivery
  • No debrief call
Start diagnostic
Build
2 weeks
$5,000–$10,000
50% / 25% mid / 25% delivery

Full audit plus P0 and P1 fixes implemented directly in your repository.

  • All 8 audit categories
  • P0 + P1 implemented
  • Pull request delivery
  • Code review walkthrough
  • Tech debt roadmap
  • 30-day support window
Start diagnostic

Beyond 2 weeks, the remediation engagement becomes phased.

Is this the right engagement?

This is a fit
You built with Lovable, Bolt, Cursor, or Replit and you have real users in production.
You're raising a seed round and need to answer "tell me about your technical debt."
You had a security incident — wrong data showing to the wrong user.
You want to hire a developer and need a codebase state document for onboarding.
You're preparing for an enterprise or investor security review.
This is not a fit
You want a rebuild from scratch — that's a different engagement entirely.
You can't share the repository. The audit requires GitHub or GitLab access.
You won't implement the remediations. The report is only useful if acted on.
Your app has zero real users and isn't deployed yet — no attack surface to audit.
You're looking for general code quality feedback, not a security-first audit.
Start Here

The diagnostic call
is 20 minutes.
And it's free.

We look at your stack, your deployment, and your use case — and give you an honest assessment of what an audit would surface before you commit to anything.

Find the gap →
01
Technical intake
20 min. We review your stack, deployment, and surface area.
02
Repository access
GitHub or GitLab. We ingest the full codebase.
03
Audit + findings
P0→P3 findings with exact file, line, and fix.
04
Debrief + patch
60-min debrief. P0 fixes shipped before engagement closes.
GRIFFAIN AI · Code Review · Est. 2026Houston, TX — Remotegriffainai@gmail.com