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An honest comparison of three approaches to verifying AI-generated code: manual testing, Cursor Bugbot, and CodeLoop. We break down scope, automation depth, cross-agent support, visual regression, and pricing.

Step-by-step guide to setting up automated verification for code written by Cursor's AI agent. Stop manually testing every change — let CodeLoop run the verify-diagnose-fix loop for you.

How to set up CodeLoop with Claude Code for fully autonomous verification. Configure MCP, agent rules, and always-on activation so every project gets verified automatically.

Today we're launching CodeLoop — a tool that automates the verify-diagnose-fix loop inside AI coding agents like Cursor and Claude Code. Stop manually testing AI-generated code.

A walkthrough of CodeLoop's section-by-section build engine — the master spec, the dependency graph, the section state machine, and the integration check that ties it all together.

How CodeLoop records every verify run with a run_id, commit_sha, branch, and full evidence — and how the bundled local dashboard turns that history into something you can browse instead of grep.

CodeLoop ships with first-class runners for Node, Vite, Playwright, Maestro and friends. The plugin SDK lets you add your own — Django pytest, Rails RSpec, Go test, anything that emits JSON — in a single config file.

Most QA tools wait for you to run them. CodeLoop ships an always-on rule that fires after every code change, captures evidence, and gates the agent until quality is real — no manual prompt required.

Cursor + Claude is the fastest AI coding stack of 2026 — but neither ships with a QA loop. Here's how to bolt CodeLoop on so every Claude edit is verified, diagnosed, and gate-checked before you read it.

There are now hundreds of Model Context Protocol servers. Most are toys. Here's an opinionated list of the MCP servers that move the needle on agent reliability — and where automated QA fits.

Cursor Bugbot is great at static analysis. But it can't see your UI. Here's what visual regression testing actually requires — and why screenshot-driven gates beat code-only review for AI-generated UIs.

Some teams need everything on-prem — code, screenshots, gate scores, the lot. Here's the self-host runbook for a complete CodeLoop deployment with no traffic to codeloop.tech.

Step-by-step guide for setting up automatic verification of AI-generated code in Cursor and Claude Code. Covers the verify → diagnose → fix → gate-check loop, gate thresholds, screenshots, and Figma comparison.

Comparison of MCP servers in the Quality Assurance / Testing category. CodeLoop, mcp-test, mcp-playwright, and mcp-snapshot — strengths, weaknesses, and which to pick.

AI coding agents are notorious for declaring tasks complete before the build actually works. This post explains the gate-check pattern that fixes it — and how to enforce it without micromanaging the agent.

Cursor Bugbot reviews PRs from inside Cursor. CodeLoop runs the same verify-fix loop locally, in Cursor and Claude Code, with screenshots and Figma diff — and ships an open-source MCP server so you can self-host.

How to set up an AI code review pipeline that includes real screenshots and pixel-diff comparison against your Figma designs. Works with Cursor, Claude Code, and any MCP-speaking client.