Introducing CodeLoop: Automated Verification for AI-Powered Development
Introducing CodeLoop
AI coding agents like Cursor and Claude Code have changed how we build software. They can write entire features, fix bugs, and refactor code — all from natural language instructions. But there's a problem nobody talks about: who verifies the code actually works?
The Manual Testing Loop
Today, the workflow looks like this:
This back-and-forth cycle is exhausting. It's the bottleneck of AI-powered development — not the coding itself, but the verification.
What CodeLoop Does
CodeLoop automates this entire loop. It runs as an MCP (Model Context Protocol) server that your AI agent calls directly:
codeloop_verify — Runs build, lint, tests, and screenshots in one callcodeloop_diagnose — Categorizes failures and creates prioritized repair taskscodeloop_gate_check — Provides confidence-scored quality gatesThe agent can now code, verify, diagnose, and fix in a continuous loop — without any human intervention until the confidence score is high enough.
How It Works
npx codeloop init in your projectWhy It's Different
Multi-Section Orchestration
For larger projects, CodeLoop can manage entire apps section-by-section. Each section goes through the verify-diagnose-fix loop independently, and the agent continues to the next section without waiting for human input. The result: your AI agent builds an entire app to high confidence before you even need to look at it.
Getting Started
CodeLoop is now in public beta with a 14-day free trial:
npx codeloop init
No credit card required. Works with Cursor and Claude Code.
We believe the future of development is AI agents that can verify their own work. CodeLoop is the verification layer that makes this possible.