Software Testing
Who's testing your AI-generated code?
More of the code shipping today is written by AI tools than ever before. It's fast, it's confident-sounding — and it needs a human to actually check it before your customers do. That's what we do.
Why this matters
Confident-sounding isn't the same as correct
- AI tools are fast at generating code that looks correct, and confident-sounding output isn't the same as correct output.
- Generated code often carries subtle logic errors, missed edge cases, or security gaps that only surface under real-world use — or after a breach.
- Faster generation means faster release cycles, which means less time for a human to actually check what shipped.
A specific, growing problem
This isn't generic software testing with "AI" added to the name — it's a distinct question businesses are only just starting to ask. If a meaningful share of your codebase was written or drafted by an AI tool, the risk isn't hypothetical: it's already in production.
What we actually check
Not just "does it run"
Logic & edge cases
Does the code actually do what was asked, including the situations nobody thought to specify?
Security gaps
Injection risks, unsafe input handling, and the kind of shortcuts AI tools take when a prompt doesn't explicitly ask for security.
Hidden assumptions
Code that works for the example it was trained on, but quietly breaks on your actual data or scale.
AI-specific failure patterns
The particular ways generated code tends to go wrong — plausible-looking but wrong library calls, inconsistent error handling, copy-pasted logic that doesn't fit the surrounding code.
How it works
Simple, no black box
- 1Send us the codebase, or the specific AI-generated portion you're unsure about
- 2We review it manually against your actual requirements — not just running it and checking for crashes
- 3You get a clear, prioritised report: what's genuinely broken, what's risky, what's fine
- 4Optional: we help fix what we find, or set up an ongoing review process for future AI-generated changes
Curious about the broader AI-and-testing picture, not just this service? Read why human testers still matter in the AI era.
Not sure if this applies to you?
If any part of your codebase was AI-generated or AI-assisted, it's worth a conversation — no obligation.