Unloop FAQs

Question 1

What is Unloop and what problem does it solve?

Accepted Answer

Unloop is an MCP server designed to prevent AI coding assistants (like Claude Code, Cursor) from getting stuck in repetitive fix loops. It detects when an AI repeatedly tries the same failing approach, saving developers time and computational resources.

Question 2

How does Unloop detect repetitive fix attempts?

Accepted Answer

Unloop uses advanced error fingerprinting to normalize error messages and Jaccard similarity to analyze fix descriptions. When similarity exceeds 55% for a persistent error, it flags a loop and intervenes.

Question 3

What happens when Unloop detects a fix loop?

Accepted Answer

Unloop intervenes with escalating alerts: NUDGE (3-4 attempts), WARNING (5-6 attempts), and CRITICAL (7+ attempts). Each level provides specific, category-targeted strategies to force the AI to change its approach.

Question 4

Which AI coding assistants and IDEs are compatible with Unloop?

Accepted Answer

Unloop integrates seamlessly as an MCP server with major IDEs and AI assistants like Claude Code, Cursor, Windsurf, and Cline, supporting any tool that adheres to the Model Context Protocol (MCP).

Question 5

How does Unloop improve developer productivity?

Accepted Answer

By quickly identifying and course-correcting AI assistants stuck in loops, Unloop prevents wasted time and token consumption. This leads to faster debugging, more efficient problem-solving, and quicker delivery of functional code.

Unloop

Unloop

주요 기능

사용 사례

주요 기능

사용 사례