System Prompts
AI System Prompt Engineering Collection
Explore and learn from system prompts used by leading AI development tools. Master prompt engineering techniques with real-world examples from v0, Cursor, Devin, and more.
System Prompts Collection
Discover and learn from system prompts used by leading AI development tools. Master prompt engineering techniques with real-world examples.
Cursor
Contextual Assistance
Code CompletionContext-aware coding assistant with deep codebase understanding and intelligent suggestions
Key Techniques
Codebase Context
Intent Prediction
Multi-file Awareness
Strengths
Deep context understanding
Accurate predictions
Seamless integration
Cluely
Error Resolution
DebuggingDebugging specialist with error pattern recognition and performance analysis expertise
Key Techniques
Error Pattern Recognition
Root Cause Analysis
Performance Profiling
Strengths
Error detection
Root cause analysis
Performance insights
Junie
Natural Interaction
Conversational AIAI assistant focused on natural conversation and user-friendly interactions
Key Techniques
Natural Language Processing
Context Awareness
User Experience
Strengths
Natural conversations
User-friendly interface
Context retention
Kiro
Mode Classification
Multi-modal AIMulti-modal AI assistant with specialized prompts for different interaction modes
Key Techniques
Mode Classification
Specification Analysis
Vibe Detection
Strengths
Multi-modal support
Adaptive responses
Context switching
Perplexity
Information Synthesis
Research AIResearch-focused AI with advanced search and information synthesis capabilities
Key Techniques
Information Retrieval
Source Verification
Knowledge Synthesis
Strengths
Research capabilities
Source citation
Fact verification
Warp.dev
Command Assistance
Terminal EnhancementModern terminal experience with AI-powered command suggestions and workflow optimization
Key Techniques
Command Prediction
Workflow Optimization
Terminal Integration
Strengths
Smart command suggestions
Workflow automation
Modern terminal UX
Z.ai Code
Performance Optimization
Code GenerationCode generation and optimization AI with focus on performance and best practices
Key Techniques
Code Generation
Performance Analysis
Best Practices
Strengths
Optimized code output
Performance focus
Industry standards
Devin AI
Autonomous Agent
AI EngineeringAutonomous software engineer capable of planning, coding, testing, and deploying complete software projects
Key Techniques
Project Planning
End-to-end Development
Quality Assurance
Strengths
Complete autonomy
Multi-step execution
Testing integration
Trae
Development AI
Code AssistanceAI-powered coding assistance with intelligent code generation, debugging, and development workflow optimization
Key Techniques
Code Generation
Debugging
Workflow Optimization
Strengths
Smart completion
Error resolution
Multi-language support
Dia
Automation AI
Web AutomationAI-powered web automation providing intelligent browser interaction and task automation capabilities
Key Techniques
Browser Automation
Task Scripting
Data Extraction
Strengths
Web navigation
Form automation
Cross-browser support
Lovable
Development Platform
Full-stack DevelopmentAI-powered full-stack development platform for rapid application creation and deployment
Key Techniques
Full-stack Generation
Rapid Prototyping
Deployment Automation
Strengths
Complete applications
Fast development
Easy deployment
Manus
Modular Assistant
Development ToolsModular AI assistant with specialized tools for complex development workflows
Key Techniques
Modular Architecture
Tool Integration
Workflow Automation
Strengths
Modular design
Tool ecosystem
Workflow efficiency
Replit
Development Environment
Cloud IDECloud-based development environment with AI-powered coding assistance and collaboration features
Key Techniques
Cloud Development
Real-time Collaboration
AI Code Assistance
Strengths
Cloud-based
Collaborative coding
Instant deployment
Same.dev
Consistency Assistant
Code QualityAI development assistant focused on maintaining code consistency and best practices
Key Techniques
Code Consistency
Best Practices
Quality Assurance
Strengths
Code consistency
Quality enforcement
Best practices
VSCode Agent
Editor Assistant
IDE ExtensionAI-powered extension for Visual Studio Code with intelligent code suggestions and automation
Key Techniques
IDE Integration
Code Suggestions
Workflow Automation
Strengths
VSCode integration
Smart suggestions
Workflow optimization
Windsurf
Project Assistant
Development EnvironmentAI-powered development environment with advanced code generation and project management capabilities
Key Techniques
Project Management
Code Generation
Development Workflow
Strengths
Project organization
Advanced generation
Workflow management
Xcode
Platform Assistant
Mobile DevelopmentAI-enhanced development tools for iOS and macOS application development with intelligent code assistance
Key Techniques
iOS Development
macOS Development
Platform Integration
Strengths
Apple platform focus
Native development
Platform optimization
v0 Prompts and Tools
Design AI
UI GenerationAI-powered UI generation tools and prompts for creating modern web interfaces and components
Key Techniques
Component Generation
Design Systems
Responsive Design
Strengths
Instant UI creation
Modern interfaces
Code export
What are System Prompts?
System prompts are foundational instructions that define how AI models behave, think, and respond. They serve as the "personality" and "expertise" layer that transforms a general AI model into a specialized assistant for specific tasks like coding, writing, or problem-solving.
🎯 Purpose & Role
Define the AI's role, expertise area, and primary objectives. Sets the context for all interactions.
🧠Thinking Process
Guide how the AI approaches problems, makes decisions, and structures its reasoning.
📋 Output Format
Specify how responses should be structured, formatted, and presented to users.
🚫 Constraints
Set boundaries and limitations to ensure safe, appropriate, and focused responses.
🎨 Style & Tone
Define the communication style, formality level, and personality traits.
🔧 Tools & Methods
Specify available tools, methodologies, and approaches the AI can use.
💡 Why System Prompts Matter
- • Consistency: Ensure predictable and reliable AI behavior across interactions
- • Specialization: Transform general AI into domain-specific experts
- • Quality Control: Improve output quality and relevance
- • User Experience: Create more intuitive and helpful AI interactions
- • Safety: Prevent harmful or inappropriate responses
About This Collection
System prompts are the foundational instructions that guide AI behavior and responses. This collection showcases how leading AI development tools craft their system prompts to achieve specific outcomes in code generation, review, and optimization.
Prompt Engineering Principles
- • Clear role definition and context
- • Specific task instructions
- • Output format specifications
- • Constraint and boundary setting
Learning Opportunities
- • Study different prompting techniques
- • Understand context management
- • Learn domain-specific approaches
- • Analyze prompt effectiveness patterns