Core Concepts
Understanding these core concepts will help you get the most out of Orchestre V3. Let's explore what makes Orchestre different from traditional development tools.
Dynamic Prompt Engineering
Traditional vs Dynamic Approach
❌ Traditional Tools
- Follow rigid scripts
- One-size-fits-all solutions
- Ignore project context
- Generate boilerplate blindly
✅ Orchestre Dynamic Prompts
- Adapt to your project
- Discover and learn context
- Make intelligent decisions
- Generate contextual solutions
How Dynamic Prompts Work
Each Orchestre command is a sophisticated prompt that:
- Discovers your project's structure and patterns
- Analyzes requirements in context
- Adapts its approach to fit your needs
- Executes with awareness of existing code
- Learns from the results
Multi-LLM Orchestration
Orchestre leverages different AI models for their strengths:
🧠 Gemini
Role: Analysis & Planning
Strengths:
- Deep reasoning
- Complex analysis
- Strategic planning
Used in: /orchestrate, /analyze
🔍 GPT-4
Role: Review & Security
Strengths:
- Code review
- Security analysis
- Best practices
Used in: /review, /security-audit
🤖 Claude
Role: Implementation
Strengths:
- Code generation
- Context awareness
- Natural interaction
Used in: All execution tasks
Consensus Building
When multiple models review code, Orchestre builds consensus:
// Example consensus from /review command
{
security: {
gpt4: { score: 8, issues: ["Missing rate limiting"] },
claude: { score: 9, issues: [] }
},
consensus: {
score: 8.5,
priority_issues: ["Missing rate limiting"],
confidence: "high"
}
}The MCP Integration
What is MCP?
The Model Context Protocol (MCP) enables Claude Code to interact with external tools and services. Orchestre is built as an MCP server, providing:
- Tools: Functions Claude can call
- Context: Project understanding
- State: Persistent memory
- Integration: Seamless workflow
MCP Tools in Orchestre
// MCP tool definition example
{
name: "analyze_project",
description: "Analyze project requirements and complexity",
input_schema: {
type: "object",
properties: {
requirements: { type: "string" },
context: { type: "object" }
}
}
}Distributed Memory System
Traditional State Management ❌
Central State File → Single Point of Failure
→ Version Control Conflicts
→ Lost ContextOrchestre's Approach ✅
CLAUDE.md Files → Distributed Across Codebase
→ Git-Friendly
→ Context Where Needed
→ Natural DocumentationMemory Structure Example
my-project/
├── CLAUDE.md # Project overview
├── src/
│ ├── auth/
│ │ ├── CLAUDE.md # Auth-specific context
│ │ └── login.ts
│ └── api/
│ ├── CLAUDE.md # API patterns
│ └── routes.ts
└── .orchestre/
└── memory-templates/ # Reusable patternsCommand Types
1. Core Commands
Direct project operations:
/create- Initialize projects/orchestrate- Analyze and plan/execute-task- Implement features/review- Quality assurance
2. Meta Commands
Commands that create commands:
/compose-prompt- Build complex workflows/extract-patterns- Learn from code/interpret-state- Understand context
3. Template Commands
Template-specific operations:
- MakerKit:
/setup-stripe,/add-team-feature - Cloudflare:
/add-worker-cron,/implement-queue - React Native:
/add-offline-sync,/setup-push-notifications
Workflow Patterns
Sequential Development
Traditional step-by-step approach:
/orchestrate → /execute-task → /review → /deployParallel Development
Distribute work across multiple tasks:
/setup-parallel → /distribute-tasks → /coordinate-parallel → /merge-workIterative Refinement
Continuous improvement cycle:
/execute-task → /review → /suggest-improvements → /execute-taskAdaptive Intelligence
Context Awareness
Orchestre commands adapt based on:
- Project Structure: Monorepo vs single package
- Technology Stack: React vs Vue, Node vs Deno
- Conventions: Existing patterns in your code
- Requirements: Specific needs you express
Example: Same Command, Different Results
# In a Next.js project:
/execute-task "Add user authentication"
# → Creates pages/api/auth, uses NextAuth
# In a FastAPI project:
/execute-task "Add user authentication"
# → Creates auth router, uses JWT + OAuth
# In a Rails project:
/execute-task "Add user authentication"
# → Uses Devise gem, follows Rails conventionsBest Practices
1. Start with Clear Requirements
# Good Requirements
- User stories with acceptance criteria
- Technical constraints clearly stated
- Success metrics defined
# Poor Requirements
- "Make it work"
- Vague descriptions
- No clear goals2. Use Natural Language
# ✅ Good
/execute-task "Add a way for users to reset their forgotten passwords via email"
# ❌ Overly Technical
/execute-task "Implement JWT-based password reset flow with Redis token storage"3. Leverage Reviews Early
# After each major feature
/review
# For specific concerns
/security-audit
/performance-check4. Document Decisions
# Record important context
/update-state "Decided to use server-side sessions for better security"
# Document complex features
/document-feature "Authentication system"Understanding Output
Analysis Results
{
"complexity": {
"score": 7.5,
"factors": {
"authentication": 2.5,
"data_modeling": 3.0,
"integrations": 2.0
}
},
"recommendations": [
"Start with authentication",
"Use established patterns",
"Plan for scalability"
]
}Plan Structure
Phase 1: Foundation (2-3 hours)
- Set up project structure
- Configure database
- Create base models
Phase 2: Core Features (3-4 hours)
- Implement authentication
- Build main CRUD operations
- Add validation
Phase 3: Polish (1-2 hours)
- Add error handling
- Optimize performance
- Write testsNext Steps
Now that you understand the core concepts:
