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David Paluy
David Paluy

Posted on • Edited on • Originally published at majesticlabs.dev

Mastering Cursor Rules: A Developer's Guide to Smart AI Integration

What are Cursor Rules?

Cursor Rules are configuration files that define how AI should interact with your codebase. They provide context-aware assistance by setting guidelines, constraints, and behavioral patterns for AI interactions.

Three Types of Cursor Rules

1. Global AI Rules (Settings)

Located in Cursor Settings -> General, these rules establish core principles for all AI interactions. They define fundamental behavior patterns and are language-agnostic. Here's a powerful example:

<CORE_PRINCIPLES>
1. EXPLORATION OVER CONCLUSION
- Never rush to conclusions
- Keep exploring until a solution emerges naturally
- Question every assumption and inference

2. DEPTH OF REASONING
- Break down complex thoughts into simple steps
- Embrace uncertainty and revision
- Express thoughts in natural conversation

3. THINKING PROCESS
- Show work-in-progress thinking
- Acknowledge and explore alternatives
- Frequently reassess and revise
</CORE_PRINCIPLES>

<OUTPUT_FORMAT>
Responses must follow:
  <CONTEMPLATOR>
  - Begin with foundational observations
  - Question thoroughly
  - Show natural progression
  </CONTEMPLATOR>

  <FINAL_ANSWER>
  - Clear, concise summary
  - Note remaining questions
  </FINAL_ANSWER>
</OUTPUT_FORMAT>
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This structure transforms AI from a simple answer generator into a thoughtful collaborator that explores solutions thoroughly and shows its reasoning process.

Example: Advanced Rules for AI with reasoning

2. Project-Wide Rules (.cursorrules)

A single file in your project root that serves as the primary guidebook for project-specific conventions:

# Framework Standards
- Follow Rails architectural patterns
- Use service objects for business logic
- Reference patterns (@service-objects.md)

# Quality Controls
- Follow RuboCop guidelines
- Enforce test coverage minimums
- Ban SQL queries in views
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3. Pattern-Specific Rules (.cursor/rules/*.mdc)

Introduced in Cursor v0.45, these Markdown-based Domain Configuration files target specific file patterns:

---
Description: Rails Controller Standards
Globs: app/controllers/**/*.rb
---

# Guidelines
- Keep controllers skinny
- Use before_action for repeating logic
- Follow RESTful conventions
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Note: In the current version, those rules are added to prompt only in Agent mode. Chat and Normal compose are still using .cursorrules

Agentic Approach: The Game Changer

Modern Cursor Rules shifted from passive rule listing to active agent instruction. Example:

You are instructa, a senior Rails developer with superpowers! ⚡

# Agent Behavior
- Read Roadmap.md first
- Plan database schema changes
- Use ViewComponents for complex UI
- Write system tests for critical paths

# Code Standards
- Follow Rails conventions
- Use concerns for shared logic
- Tests must pass before merge
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Pro Tips

1. Reference Architecture Using "@ syntax"

Instead of writing lengthy explanations, reference your documentation:

# Bad
- Controllers should use service objects for complex business logic...

# Good
- Follow service object patterns defined in @docs/architecture/services.md
- See implementation examples in @docs/examples/service_objects/
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2. Strategic Glob Patterns

Create focused, hierarchical patterns:

# Too broad
Globs: **/*.rb

# Better
Globs:
  app/services/**/*.rb
  app/models/**/*.rb
  !app/models/legacy/**/*.rb  # Exclude legacy
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3. Combining Rules

Create composable rule sets:

# .cursor/rules/base_ruby.mdc
Description: Base Ruby standards

# .cursor/rules/rails_controllers.mdc
@base_ruby.mdc
Description: Controller-specific rules
Globs: app/controllers/**/*.rb
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4. Maintainable Organization

Structure rules by domain:

.cursor/rules/
  ├── rails8.mdc
  ├── models/
  │   ├── active_record.mdc
  │   └── postgresql.mdc
  ├── controllers/
  │   ├── api.mdc
  │   └── web.mdc
  └── views/
      ├── erb.mdc
      └── components.mdc
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The power of Cursor Rules lies in their ability to provide contextual guidance while maintaining flexibility. They transform AI from a generic tool into a project-aware coding partner that understands your architecture, conventions, and goals.

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