Cursor AI Integration

Maximize your AI-assisted development with PUG’s deep Cursor AI integration. Learn how PUG provides contextual understanding that transforms your coding experience.

How Integration Works

Automatic Context Injection

PUG automatically generates AI-friendly documentation files that Cursor AI reads and applies during code suggestions.

Integration Flow:

1. Code Analysis - PUG analyzes codebase patterns and architecture
2. Documentation Generation - Creates .mdc files in .cursor/rules/ directory
3. Context Application - Cursor AI automatically passes these files into LLMs for enhanced understanding
4. Smart Suggestions - AI provides contextually aware code assistance

Generated Documentation Structure

PUG creates a comprehensive set of rules files that Cursor AI uses for context:

.cursor/rules/
├── codebase_docs/
├── library_docs/
├── feature_docs/
└── upgrade_docs/

PUG helps Cursor AI understand and suggest:

• Your Specific Architectural Patterns - Follows your established design patterns
• Naming Conventions - Maintains consistency with your codebase style
• Error Handling Strategies - Implements your specific error handling approaches
• Library Usage Patterns - Uses libraries exactly as implemented in your project

Smart Guardrails

PUG’s upgrade guides include protective measures:

Deprecated Pattern Prevention:

• Warns against using outdated library methods
• Suggests modern alternatives specific to your stack
• Prevents implementation of deprecated patterns

Breaking Change Protection:

• Identifies potentially breaking modifications
• Suggests safer implementation approaches
• Maintains backward compatibility where needed