Lanhu FAQs

Question 1

How does Lanhu automate demand analysis and UI design support?

Accepted Answer

Lanhu offers intelligent demand analysis for Axure prototypes with three modes (development, testing, exploration), achieving over 95% accuracy. For UI design, it automates the extraction of design assets, including smart slicing and semantic naming, streamlining the handover from design to development.

Question 2

Which AI models and tools are compatible with Lanhu?

Accepted Answer

Lanhu integrates with any AI development tool that supports the Model Context Protocol (MCP). It requires vision-enabled AI models such as Claude, GPT, Gemini, Kimi, Qwen, and DeepSeek, ensuring robust image recognition and analysis capabilities for features like demand analysis and UI asset extraction.

Question 3

What is the 'Team Collaboration Message Board' feature?

Accepted Answer

This innovative feature allows all AI assistants (e.g., Cursor, Claude Code) to connect to a unified knowledge base. It enables context passing, knowledge sharing (like development 'gotchas' or test cases), and task collaboration among AIs and human developers, overcoming the fragmentation of individual AI IDEs.

Question 4

What is Lanhu MCP Server and what problem does it solve?

Accepted Answer

Lanhu MCP Server is a powerful Model Context Protocol (MCP) server designed for AI development teams. It acts as a central knowledge hub, breaking down 'AI IDE silos' by allowing all AI assistants to share demand analysis, UI assets, and team insights, preventing repetitive work and fostering unified collaboration.

Question 5

What are the performance benefits of using Lanhu?

Accepted Answer

Lanhu is optimized for performance with features like smart caching based on document version numbers, incremental updates to only fetch changed resources, and concurrent processing for tasks like batch page screenshots and resource downloads, ensuring efficiency for large-scale AI development projects.

Lanhu

Lanhu

Key Features

Use Cases

Key Features

Use Cases