The control layer your team has been missing.

Meet your new control layer. Always at this desk, running every pull request before it merges, because reading code is not the same as running it.

77%: of developers use AI coding tools. Stack Overflow Developer Survey, 2024.
1.7x: more bugs in AI-generated code than human-written code. GitClear, 211M lines.
0: tools that ran code before merge when we went looking. So we built one.

It started with an import that did not exist.

One Friday afternoon, a pull request written with an AI assistant sailed through every check we trusted. What happened over that weekend became a company.

Friday, 4:47 PM
The pull request merges.
Linter green, syntax valid, a human reviewer approves it. Nothing looks unusual.
Friday, 4:51 PM
Deployed to production.
The change ships with the rest of the release. Everyone goes home for the weekend.
Monday, 9:12 AM
Runtime errors start.
The AI had invented a library. The import was convincing, syntactically correct, and pointed at nothing.
Monday, 11:30 AM
Three engineers off their sprint.
Half a day of tracing and rollback coordination, all to land a four-line fix.

We went looking for a tool that runs code before merge, verifies imports against real registries, and maps what a change can break. There wasn't one. So we built the control layer we needed ourselves.

What your control layer actually does.

Reading code is not running it. Autter treats every pull request the way a careful harbour auditor treats a ship at the dock: open the crates, check the cargo, measure the reach.

Every dependency is confirmed against real registries, so phantom packages never reach your main branch. Your code actually runs in an isolated sandbox, and the test suite is compared against the base branch instead of just linted.

Exposed credentials, removed authentication, and known vulnerabilities get caught before deploy, not after. And the more of your codebase a change touches, the harder Autter looks before it lets the merge through.

A few things we are stubborn about.

A check you can ignore is just advice, so Autter blocks the merge button. That is non-negotiable. Reading code is not running it, and execution is the only pre-production check that catches what static analysis cannot see.

Risk is damage multiplied by spread. A one-line change to a shared helper deserves more scrutiny than a hundred lines in a leaf. We would rather catch five real issues than flag fifty uncertain ones, because a tool people learn to ignore is actively harmful.

Every finding arrives with an explanation and a fix, not just a verdict, because the maintainer is the customer. We started from scratch in 2026: tools built for human-written code were not built for this landscape.