Hidden Bugs & Complex Logic
73% of vibe-coded bugs are invisible in dev
Vibe-coded apps work until they don't. Undocumented assumptions, tangled conditionals, and copy-pasted logic create bugs that surface only in production - at the worst time.
AI can dramatically accelerate software development, but production software still depends on strong engineering decisions. We combine AI-assisted development with experienced engineers, software architecture, testing, security, and code reviews to deliver scalable, maintainable, and production-ready applications.
Real Engineer Eyes on Your Code
Not another AI linter. A senior engineer reads your vibe-coded codebase and tells you exactly what will break and why.
Security & Bug Audit Before You Scale
AI-generated code ships with predictable security holes. We find them before attackers do - and fix them before they cost you.
Extend It, Don't Rewrite It
Add new features, improve performance, and build on top of your existing vibe code - without starting over.
500+
Vibe-coded files reviewed
48hr
Avg. audit turnaround
100%
Zero breaking changes
4.9★
Client satisfaction
Shipping with AI-generated code feels fast - until these five problems compound in production.
73% of vibe-coded bugs are invisible in dev
Vibe-coded apps work until they don't. Undocumented assumptions, tangled conditionals, and copy-pasted logic create bugs that surface only in production - at the worst time.
4× more vulnerabilities vs reviewed code
AI-generated code routinely skips input validation, exposes sensitive data, and misuses authentication. What feels like working code can be an open door for attackers.
60% of vibe apps hit scale walls within 6mo
Code that works for 10 users breaks at 10,000. Missing indexes, synchronous bottlenecks, and inefficient queries become catastrophic as you grow.
3× longer to onboard new devs
Vibe code is written once and forgotten. No one on your team can read it, maintain it, or extend it - including the person who wrote it three weeks ago.
2.4× more rework on unreviewed AI code
Asking AI to fix its own vibe code produces more vibe code. Without a structured engineer reviewing the output, technical debt compounds every sprint.
"It worked in dev - why is production on fire?"
Every vibe-coded app sounds the same at 3am. We fix the underlying issues before that call happens.
Five services that turn rapidly-built AI code into a maintainable, secure, and scalable product.
What You Get
What You Get
What You Get
What You Get
What You Get
What Every Engagement Includes
Tech Debt (Before)
Critical
Tech Debt (After)
Low
Vibe-coded MVP fully audited and production-ready in 3 weeks.
A 7-step process that turns vibe-coded output into production-grade software - without rewriting everything.
You share your repo (private, under NDA). We review the stack, size, and scope to set expectations before any work begins.
Initial audit findings delivered within 48 hours
You see the full list of critical issues - with severity ratings and fix estimates - before committing to any implementation work.
Real codebases we cleaned up, secured, and shipped.
AI-generated codebase with 47 critical vulnerabilities and zero test coverage. Fully audited, refactored, and handed back production-ready in 3 weeks.
Bugs fixed
Vibe-coded payment flow had 3 SQL injection risks and unvalidated amounts. Fixed, extended with new reporting module, and deployed with full audit trail.
Critical CVEs fixed
Monthly code care retainer for a 30K-user platform. Caught 12 regressions before production, upgraded 8 major dependencies, and onboarded new devs in 2 days.
Regressions caught
Common questions before sharing your codebase for review.
Vibe coding refers to the growing practice of using AI tools (ChatGPT, Claude, Cursor) to rapidly generate code without fully understanding what's being built. While it accelerates prototyping, it creates hidden bugs, security vulnerabilities, missing error handling, and zero documentation - code that looks like it works but fails in production.
Yes - this is exactly what we specialize in. AI-generated code has predictable failure patterns: missing input validation, SQL injection risks, N+1 query problems, and poor error handling. We know what to look for and how to fix it efficiently.
A focused audit of a small-to-medium codebase (under 50K lines) typically takes 5-7 business days. Larger codebases take 10-15 days. We prioritize the highest-risk areas first so you see critical findings within 48 hours.
Never. We use a parallel-development approach - refactored code runs alongside existing code in staging, fully validated before any cutover. You sign off on every change before it touches production.
We sign an NDA on Day 1. Your codebase, business logic, and IP are fully protected. We work in a private repo environment and delete all copies at project end if required.
Yes, but we always recommend a targeted cleanup of the files you're extending. Adding features to messy code without context is how bugs multiply. We scope the minimum cleanup required to safely extend any given area.
Our monthly retainer includes: review of all new AI-generated code before it ships, weekly dependency security scans, monthly health report with trend data, regression testing after major changes, and on-call support for critical production issues.
Share your repo and we'll send you a written summary of the top 5 issues - security risks, critical bugs, and scalability problems - within 48 hours. No cost, no pitch call required.
Start building
1. Share repo
2. NDA signed
3. 48hr audit
4. Fix plan delivered