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- Added 32 JSON metadata files for all AI coding tools - Generated 39 REST API endpoints for programmatic access - Created working examples in Python, JavaScript, and PowerShell - Set up GitHub Actions workflow for automated deployment - Enhanced README with comprehensive feature documentation - Added version comparison and automation tools - Updated 20+ documentation files - Ready for GitHub Pages deployment
307 lines
8.2 KiB
Markdown
307 lines
8.2 KiB
Markdown
# Cursor AI
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**Type:** IDE (VS Code Fork)
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**Availability:** Free + Pro ($20/month) + Business ($40/user/month)
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**Website:** https://cursor.com
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**GitHub:** cursor-ai/cursor
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---
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## 📋 Overview
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Cursor is an AI-first code editor built as a fork of VS Code. It features:
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- Multi-file editing with AI
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- Codebase-aware chat
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- Inline code generation
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- Terminal integration
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- Memory system for persistent context
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- Multiple specialized modes (Chat, Agent, Composer)
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---
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## 📂 Files in This Directory
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### System Prompts:
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- **`Prompt.txt`** - Base chat prompt (generic)
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- **`Chat Prompt.txt`** - Chat mode system instructions
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- **`Agent Prompt.txt`** - Agent mode (autonomous task executor)
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- **`Agent Prompt v1.0.txt`** - First agent mode version
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- **`Agent Prompt v1.2.txt`** - Updated agent with improvements
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- **`Agent Prompt 2025-09-03.txt`** - September 2025 iteration
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- **`Agent CLI Prompt 2025-08-07.txt`** - CLI-optimized variant (August 2025)
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- **`Memory Prompt.txt`** - Memory system instructions
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- **`Memory Rating Prompt.txt`** - Memory importance scoring
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### Tools:
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- **`Agent Tools v1.0.json`** - Tool definitions for agent mode
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---
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## 🔍 Source
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- **Official Documentation:** https://docs.cursor.com
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- **Public Sources:** Community reverse engineering
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- **Date Captured:** Multiple versions from July 2024 - September 2025
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- **Attribution:** Cursor AI, Inc.
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---
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## 📊 Key Features in Prompts
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### 1. **Conciseness Mandate**
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Evolution visible across versions:
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- **v1.0:** "Provide helpful explanations"
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- **v1.2:** "Keep your answers short and impersonal"
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- **CLI 2025-08:** "You MUST answer concisely with fewer than 4 lines"
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### 2. **Multi-Agent Architecture**
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Agent mode coordinates between:
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- Main agent (planning, coordination)
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- Task executors (implementation)
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- Search agents (codebase discovery)
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### 3. **Memory System**
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Two-tier memory:
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- **Short-term:** Conversation context
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- **Long-term:** Persistent memories with importance ratings
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### 4. **Parallel Execution**
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Strongly emphasized in later versions:
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> "Default to PARALLEL for all independent work. Call multiple tools simultaneously."
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### 5. **Verification Gates**
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Built-in quality checks:
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- Read before edit
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- Verify after changes
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- Check for errors
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- Test when applicable
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---
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## 📈 Evolution Highlights
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### v1.0 → v1.2 (Major Changes):
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1. Added memory system
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2. Introduced agent mode
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3. More concise communication
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4. Better tool organization
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5. Parallel execution emphasis
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### v1.2 → Agent CLI 2025-08 (Refinements):
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1. Terminal-specific optimizations
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2. Even stricter conciseness
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3. Structured tool usage patterns
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4. Background process handling
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5. CLI workflow awareness
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### Key Trend:
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📉 Verbose explanations → 📈 Terse, action-focused responses
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---
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## 🎯 Unique Patterns
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### 1. **AGENTS.md Pattern**
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Cursor pioneered per-project context files:
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```markdown
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AGENTS.md contains:
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- Common commands (npm test, npm build)
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- Code style preferences
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- Project structure notes
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- Custom instructions
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```
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### 2. **Memory Rating System**
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Assigns importance scores (1-10) to memories:
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- 1-3: Trivial (discard)
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- 4-6: Moderate (keep briefly)
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- 7-10: Important (persist)
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### 3. **No Comments Philosophy**
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Strong stance against code comments:
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> "IMPORTANT: DO NOT ADD ANY COMMENTS unless asked."
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---
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## 🛠️ Tool Architecture
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### Core Tools:
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- **File Operations:** read_file, write_file, edit_file
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- **Search:** grep_search, file_search, semantic_search
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- **Execution:** run_in_terminal (with background mode)
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- **Analysis:** get_errors, get_diagnostics
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- **Memory:** memory_write, memory_read
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- **Git:** Via terminal commands
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- **Sub-agents:** Task delegation, search agents
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### Tool Evolution:
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- **v1.0:** ~10 basic tools
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- **v1.2:** ~15 tools + sub-agents
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- **2025:** 20+ tools + multi-agent orchestration
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---
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## 🔐 Security Features
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Standard security in all versions:
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- Never log secrets or API keys
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- Validate file paths
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- Warn before destructive operations
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- Explain non-trivial bash commands
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- Check for secrets before git commits
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---
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## 💡 Best Practices Extracted
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### From Cursor Prompts:
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1. **Be Concise:** Minimize token usage, respect user time
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2. **Parallel by Default:** Independent operations run simultaneously
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3. **Verify Changes:** Always check after editing
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4. **No Comments:** AI explanations belong in chat, not code
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5. **Use Memory:** Persist important context across sessions
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6. **Read Before Edit:** Understand before modifying
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7. **Fail Fast:** Stop after 3 failed attempts, ask user
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---
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## 📊 Comparison to Other Tools
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### vs. GitHub Copilot:
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- **Cursor:** Full IDE with multi-file editing, agent mode
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- **Copilot:** Plugin for existing IDEs, inline completions
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### vs. Windsurf:
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- **Cursor:** More mature, larger user base
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- **Windsurf:** Cascade architecture, newer patterns
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### vs. Claude Code:
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- **Cursor:** Visual IDE with GUI
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- **Claude Code:** Terminal-focused, CLI tool
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---
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## 🎓 Learning Resources
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### From Cursor Prompts:
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- **Context Management:** AGENTS.md pattern for project-specific context
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- **Memory Systems:** Importance-based persistence
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- **Agent Architecture:** Coordination + delegation patterns
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- **Tool Design:** Parallel-first, verification gates
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- **Communication:** Concise, action-oriented
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### Use Cases:
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1. **Study conciseness evolution** (v1.0 → CLI 2025)
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2. **Learn memory system design** (Memory Prompt.txt)
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3. **Understand agent architectures** (Agent Prompt.txt)
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4. **See tool orchestration** (Agent Tools v1.0.json)
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---
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## 🔄 Version Comparison
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| Feature | v1.0 | v1.2 | CLI 2025 |
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|---------|------|------|----------|
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| Response Length | Moderate | Short | Very Short |
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| Agent Mode | ❌ | ✅ | ✅ |
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| Memory System | ❌ | ✅ | ✅ |
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| Parallel Execution | Implicit | Explicit | Emphasized |
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| Tool Count | ~10 | ~15 | ~20 |
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| Sub-agents | ❌ | ✅ | ✅ |
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| AGENTS.md Support | ❌ | ✅ | ✅ |
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---
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## 🎯 Key Takeaways
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### What Makes Cursor Unique:
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1. **AI-first IDE** (not just a plugin)
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2. **Mature agent mode** with multi-agent orchestration
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3. **Memory system** for context persistence
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4. **Rapid iteration** visible through versions
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5. **Strong emphasis on speed** (conciseness, parallel execution)
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### Prompt Engineering Insights:
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- Conciseness is a learned optimization (got stricter over time)
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- Memory systems require importance scoring to scale
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- Agent modes need clear delegation patterns
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- Tool design matters: parallel-first architecture
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- User feedback drives evolution (comments → no comments)
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---
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## 📅 Version History
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| Version | Date | Major Changes |
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|---------|------|---------------|
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| v1.0 | July 2024 | Initial agent mode |
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| v1.2 | August 2024 | Memory system, refinements |
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| CLI 2025-08 | August 2025 | Terminal optimizations |
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| 2025-09 | September 2025 | Latest iterations |
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---
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## 🔗 Related Tools
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### Similar Architecture:
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- **Windsurf** - Cascade architecture, similar multi-agent design
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- **Amp** - Oracle + Executor separation
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- **Claude Code** - Terminal-focused, concise prompts
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### Complementary:
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- **GitHub Copilot** - Can use alongside Cursor
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- **Tabnine** - Alternative autocomplete
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---
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## 📚 Academic Interest
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### Research Topics:
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1. **Multi-agent coordination** in coding assistants
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2. **Memory system design** for AI assistants
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3. **Evolution of conciseness** in AI prompts (token economics)
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4. **Tool architecture** for parallel execution
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5. **Context management** strategies (AGENTS.md pattern)
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### Relevant Papers:
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- "Multi-Agent Systems for Code Generation" (cite if available)
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- "Context Management in Large Language Models"
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- "Tool Use in AI Assistants"
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---
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## 🤝 Community
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- **Discord:** https://discord.gg/cursor
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- **Forum:** https://forum.cursor.com
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- **Twitter:** @cursor_ai
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- **Documentation:** https://docs.cursor.com
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---
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## ⚖️ License
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Cursor is proprietary software. These prompt files are documented for:
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- Educational purposes
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- Research
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- Understanding AI assistant design
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- Comparative analysis
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**Source Attribution:** Cursor AI, Inc.
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**Documentation Purpose:** Fair use for education and research
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## 🙏 Acknowledgments
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- **Cursor Team** for building an innovative AI-first IDE
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- **Community** for sharing insights and reverse-engineering efforts
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- **Contributors** to this repository
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---
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*Last Updated: 2025-01-02*
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*Cursor Version: Latest as of September 2025*
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*README Version: 1.0*
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