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Introducing CodeLoop: Automated Verification for AI-Powered Development

CodeLoop TeamMarch 22, 20265 min read

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:

  • You ask your AI agent to implement a feature
  • The agent writes the code
  • You manually run the app and test it
  • You find 5 bugs
  • You tell the agent about the bugs
  • The agent fixes 3 bugs but introduces 2 new ones
  • You test again
  • Repeat until it works (or until you give up)
  • 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 call
  • codeloop_diagnose — Categorizes failures and creates prioritized repair tasks
  • codeloop_gate_check — Provides confidence-scored quality gates
  • The 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

  • Install: Run npx codeloop init in your project
  • Code normally: Your AI agent implements features as usual
  • CodeLoop auto-verifies: After each implementation, the agent calls CodeLoop tools
  • Self-repair loop: If verification fails, the agent diagnoses and fixes automatically
  • Gate check: When confidence reaches your threshold, the section is done
  • Why It's Different

  • Runs locally: No cloud compute, no latency. The MCP server runs on your machine.
  • Agent-native: Built for MCP, the standard protocol both Cursor and Claude Code support.
  • Evidence-based: Every decision backed by actual build logs, test results, and screenshots.
  • Near-zero cost: Your AI agent uses its own LLM tokens. CodeLoop just orchestrates.
  • 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.

    Start your free trial → | Read the docs →