What Happens When AI Writes Code Nobody Verifies

Right now, the default workflow for every AI coding agent is: the model generates code, the code gets written to your project, and nothing checks whether it matches reality. No verification against your dependencies. No comparison against your source files. The AI writes. You trust.

The trust default

When a human writes code, there's a natural verification loop. They know what's installed. They know the project's functions. They've built the mental model. When something doesn't look right, they catch it.

AI agents don't have this loop. They generate code from training patterns and write it directly to your files. If the AI writes import redis from "express-redis-cache", that line goes into your codebase. If the AI calls db.findUserByEmail(), that call goes into your codebase. No check against your package.json. No check against your exported symbols.

The AI writes confidently. The code looks clean. And nobody verifies it until something breaks.

Where it breaks

• Runtime crashes — hallucinated imports cause MODULE_NOT_FOUND errors in production
• Silent bugs — phantom function calls sit undetected until that code path executes
• Retry cascades — bad commands fail, trigger retries, compound inference cost
• Security exposure — commands targeting internal endpoints execute without a gate
• Wasted developer time — debugging AI-generated code that references things that don't exist

Each of these is preventable. The information needed to prevent them exists in your project right now — your dependency list, your source files, your system state. Nobody is using it to verify the AI's output.

The missing layer

Every other automated system has verification. CI/CD pipelines run tests. Compilers check syntax. Linters enforce style. But between the AI generating code and that code landing in your project, there's nothing.

Check fills this gap. It verifies commands before execution and code after every file write. Imports are compared against your real dependencies. Function calls are compared against your real source files. Commands are validated before they reach the shell.

No AI inside. Deterministic verification against your actual project state. The layer that should have been there from the start.