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AI-generated code support

Whatever tool built it,
we can take it further.

Claude, Copilot, Cursor, Codex, ChatGPT - the AI tool doesn't matter. What matters is what comes next: a working prototype that needs real engineering judgment to become a stable, production-ready product.

Senior engineers pick up AI-generated code, understand exactly what it does and doesn't do, and fill in everything the tool couldn't: architecture decisions, edge cases, and the parts of software engineering AI hasn't learned yet.

  • Broad coverage across languages, frameworks, and AI tools
  • A code review that separates what's solid from what's fragile
  • Engineers who can read and extend a codebase they didn't write
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AI-built application passing architecture, security, and production-readiness review
// Why it matters

AI writes code.
It doesn't own the outcome.

AI tools generate working code fast, but they don't carry judgment about what happens when real users, real traffic, or a real edge case shows up. A senior engineer steps in not to rewrite what already works, but to understand it, harden it, and take ownership of the parts AI-generated code was never built to handle on its own.

Whether your app came out of Claude, GitHub Copilot, Cursor, Codex, or ChatGPT, "vibe coded" prototypes tend to share the same blind spots. Our team specializes in reviewing AI-generated codebases and turning them into secure, scalable, production-ready software, without a rewrite from scratch.

Works with Claude Copilot Cursor Codex ChatGPT
// What we pick up
01
Codebase Assessment
A senior engineer reads the full codebase your AI tool produced and maps out what's actually there, no matter the language or framework.
02
Gap & Security Analysis
Missing error handling, untested edge cases, security risks, and architecture decisions the AI made without full context.
03
Human Review & Fixes
The gaps get closed and fragile areas hardened by engineers who understand the intent, not just the syntax.
04
Handoff or Ongoing Support
A production-ready codebase the next engineer can pick up, fully documented and built to scale.
// AI ALONE VS. AI + SENIOR ENGINEERS

The gap you can't see
until it's in production.

Shipped by AI alone
  • Error handling only for the happy path
  • Edge cases nobody thought to test
  • Architecture decisions made without context
  • No one who can explain why it works
Reviewed by senior engineers
  • Failure modes identified and handled
  • Edge cases tested against real conditions
  • Architecture decisions made with intent
  • A codebase the next engineer can own

Your AI tool got you this far. A senior engineer takes it the rest of the way.

Book a free call and get an honest read on your codebase, no matter what built it.

Book a Free Call  →