AI now writes a large share of the code that lands in pull requests — far more than any team can carefully read. AI-written code is fluent and confident even when it is wrong, so the worst mistakes are the hardest to spot: a function that doesn't exist, a test that can't fail, a stub that looks finished. An AI CI gate is the fix: a required check in your CI pipeline that reviews every AI-written change and blocks the merge when something is actually wrong.
What it does
On every pull request, an AI CI gate like Verificate Gate reads the changed files (nothing is executed) and checks for the mistakes AI coding tools make most:
- Invented APIs — calls to functions, SDK resources or packages that don't exist.
- Placeholder code presented as finished — mocks, stubs, FIXMEs and hardcoded results passed off as working.
- Tests written to pass rather than to test — a green tick that proves nothing.
- Quality problems across security, reliability, performance efficiency and maintainability (the four ISO/IEC 5055 areas).
If a change has a real problem, the check goes red and GitHub blocks the merge until it's fixed. If it's clean, it merges as normal. That's the whole idea.
How you use it
One file in your repository:
# .github/workflows/verificate-gate.yml
name: Verificate Gate
on:
pull_request:
types: [opened, synchronize, reopened]
permissions: { contents: read, pull-requests: write }
jobs:
verificate-gate:
runs-on: ubuntu-latest
steps:
- uses: Verificate-Dev/verificate-gate-action@v1No signup, no API key, free to try — the next pull request gets checked. Start in watch mode (fail-on: off) if you want it to comment without blocking for the first week. To remove it, delete the file. The same gate also runs inside Claude Code, Cursor and Windsurf via MCP, so code is checked before it's even committed.
What you get out of it
- Broken AI code never reaches production. The expensive failures — the fake refund path, the N+1 that dies at real traffic — are caught as a red check, not as an incident.
- Review time drops from hours to minutes. The gate reads every line of every change, every time; humans review the design, not the forgery-hunting.
- Cheaper models become safe to use. When a hard gate holds the quality bar at review, model choice becomes a cost decision, not a risk decision.
Where to get one
Verificate Gate is on the GitHub Marketplace as a GitHub Action, on Glama as an MCP server for agent workflows, and on ClawHub for OpenClaw agents. Full detail on the Verificate Gate page.