Nx
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AI that actually works for large codebases

Integrate with your LLM via MCP video thumbnail

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See Nx AI in action.

Your AI assistant is blind to your workspace architecture

As monorepos scale, AI tools become progressively less effective without true workspace understanding.

The challenges

Limited context

LLMs only see individual files, missing the architectural relationships in large monorepos.

Inconsistent output

AI generates code that doesn't follow team standards or may break components it can't see.

No workspace awareness

AI can't understand project dependencies, ownership, or cross-project integration points.

Manual context burden

Developers must repeatedly provide the same contextual information about project structure.

How Nx helps

Architectural awareness

Move from file-level to workspace-level understanding with rich project relationship metadata.

Predictable + intelligent

Combine consistent generators with AI customization that follows team standards.

Integrated workflows

Connect editor, terminal, CI, and AI for truly context-aware assistance across your entire workspace.

Up-to-Date Documentation

Access current docs and best practices for accurate, workspace-specific guidance.

Powered by Nx workspace intelligence

1

Nx daemon runs in the background, maintaining up-to-date workspace metadata

2

This rich contextual data is processed and optimized for AI consumption

3

Nx Console exposes the data to your AI assistant via an MCP

Nx MCP visualization

Start with Nx Console

Install the Nx Console Extension, available for VSCode, Cursor, and IntelliJ.

ModelContextProtocol

Nx MCP

Nx Console automatically registers its MCP server or you can configure it in any MCP compatible client.

Enhanced LLM workflow

Your existing AI tools understand your workspace architecture without changing your development habits.

Transform your AI assistant in minutes