Service

AI Code QA

Ship with confidence. We review and harden AI-generated code.

AI-generated code is fast but often brittle — missing edge-case handling, security hardening, and production-grade structure. We audit it, fix it, and certify it's ready to ship.

What it is

AI-generated code is fast but often brittle — missing edge-case handling, security hardening, and production-grade structure. We conduct a structured review of AI-written codebases and fix what needs fixing before it reaches production.

Why this matters

AI-generated code introduces a new class of risk: it looks right, passes a quick scan, but fails under real-world load or adversarial input. QA built for human-written code misses AI-specific patterns. We catch them.

Best for

Teams who used AI to build fast and now need to know it's solid before going live — or before showing it to customers, investors, or a security team.

What you get

  • A line-by-line code review with severity ratings
  • Security audit covering OWASP top 10 and common AI code pitfalls
  • Performance and scalability notes for each flagged area
  • A fixed codebase — we don't just report, we repair
  • A test suite covering critical paths and edge cases
  • A sign-off report you can share with stakeholders

How it works

The process

01

Scope

You share the codebase. We agree on scope — which modules, which risk areas, and what 'production-ready' means for your context.

02

Audit

We review the code for security, reliability, performance, and maintainability — with an eye specifically on AI code patterns: over-trusting input, missing guards, hallucinated APIs.

03

Fix

We fix the flagged issues directly. You receive a diff, not just a list of problems.

04

Sign off

We write a test suite for critical paths and deliver a sign-off report. You ship with confidence.

FAQ

Common questions

What kinds of issues do you typically find in AI-generated code?

Missing input validation, overly broad error handling, hardcoded secrets, SQL injection vectors, missing rate limiting, hallucinated library methods that silently fail, and performance bottlenecks from naively generated loops.

Do you work with all languages and frameworks?

We cover TypeScript/JavaScript (Next.js, Node), Python (FastAPI, Django), and Go. For other stacks, ask — we may still be able to help.

Can you review code we didn't write with AI?

Yes. The same review applies to any codebase you're not confident in — legacy code, contractor work, or rapidly written internal tools.

Do we need to share proprietary business logic?

We sign an NDA before reviewing any code. Many clients redact non-essential business logic and share only the structural and security-relevant portions.

Ready to get started with AI Code QA?

Book a free intro call and we'll scope the engagement, agree on outcomes, and give you a fixed price — before any commitment.