Tutorial 6: Generating Implementation Tutorials with Intelligent Orchestration

Learn how Orchestre's /generate-implementation-tutorial prompt transforms your vision into reality through adaptive tutorialning and discovery-driven development.

Overview

The /generate-implementation-tutorial prompt showcases v5's intelligence. Rather than generating static tutorials, it creates dynamic orchestration guides that discover your documentation, adapt to your context, and evolve with your project. This prompt embodies Orchestre's philosophy: prompts that think, not just execute.

What Makes This Prompt Special in v5

1. Adaptive Discovery

The prompt doesn't assume - it discovers:

• Explores your project structure
• Finds existing documentation
• Understands your patterns
• Adapts to what it finds
• Creates fallback strategies

2. Intelligent Orchestration

Beyond tutorialning, it orchestrates:

• Analyzes dependencies dynamically
• Identifies parallelization opportunities
• Suggests optimal execution order
• Coordinates through memory
• Learns from each execution

3. Memory-Driven Evolution

The tutorial evolves with your project:

• Updates based on discoveries
• Incorporates learned patterns
• Refines estimates from experience
• Documents decisions automatically
• Builds institutional knowledge

Prerequisites for v5

With v5's discovery approach, prerequisites are minimal:

1. Have Orchestre Installed:

   # In your Claude Code MCP settings
   # Orchestre server should be configured

2. Optional: Existing Documentation If you have docs, great! The prompt will find and use them:

   project_docs/           # Discovered automatically
   requirements.md         # Found and analyzed
   *.md                   # All markdown processed

3. That's It! The prompt will:

   • Discover what exists
   • Work with what it finds
   • Create what's missing
   • Document everything

Basic Usage in v5

Simple Invocation

/generate-implementation-tutorial "B2B project management application with team collaboration"

The prompt will:

1. Discover your project context
2. Find any existing documentation
3. Analyze patterns and conventions
4. Generate an adaptive tutorial
5. Create memory structures

With Discovery Hints

/generate-implementation-tutorial "AI-powered customer support platform. Check project_docs/ for detailed requirements."

With Architectural Preferences

/generate-implementation-tutorial "Edge-native video streaming platform using Cloudflare. Emphasize real-time performance and global distribution."

Understanding the v5 Output

The prompt generates an intelligent [ProjectName]_IMPLEMENTATION_TUTORIAL.md that:

1. Adaptive Progress Tracking

## Progress Tracker

- [ ] Phase 1: Foundation (0/5 steps)
- [ ] Phase 2: Core Features (0/8 steps)  
- [ ] Phase 3: Advanced Features (0/6 steps)
- [ ] Phase 4: Production Readiness (0/4 steps)

*This tutorial adapts based on discoveries. Steps may be added, modified, or parallelized as we learn more about your project.*

2. Discovery Results

## Discovery Analysis

**Found Documentation**:
- `requirements.md` - High-level requirements
- `src/lib/config.ts` - Existing configuration patterns
- `CLAUDE.md` - Project conventions

**Discovered Patterns**:
- TypeScript with strict mode
- Modular architecture
- Existing auth implementation

**Adaptive Strategy**:
- Build on existing auth rather than replacing
- Follow discovered module patterns
- Enhance rather than rewrite

3. Intelligent Steps

Each step in v5 is dynamic:

##### Step 2.1: Enhance Authentication System

**Discovery**: Found existing auth in `src/lib/auth/`
**Approach**: Enhance rather than replace

**Your Prompt**:

/execute-task "Enhance the existing authentication system:

1. Discover current auth implementation patterns
2. Add SSO support following existing patterns
3. Implement team invitations
4. Ensure backward compatibility
5. Update documentation in auth/CLAUDE.md"

**Why This Step**: Building on existing foundation
**Complexity**: Medium - extending known patterns
**Parallelizable**: Yes - UI work can proceed
**Learning Opportunity**: SSO patterns for future

**Memory Updates**:
- `src/lib/auth/CLAUDE.md` - SSO implementation
- `.orchestre/patterns/auth-enhancement.md`

Advanced v5 Usage

1. Leveraging Parallel Discovery

/generate-implementation-tutorial "E-commerce platform with:
- Multi-vendor marketplace
- Real-time inventory tracking  
- AI-powered recommendations
- Global payment processing

Use sub-agents to discover optimal architecture for each component."

The prompt will:

• Spawn sub-agents for parallel discovery
• Each explores different architectural options
• Converge on optimal approach
• Create comprehensive tutorial

2. Building on Existing Systems

/generate-implementation-tutorial "Transform our monolith into a modern microservices architecture:
1. Discover current architecture
2. Identify extraction points
3. Tutorial incremental migration
4. Maintain system stability throughout"

Adaptive tutorialning for legacy modernization!

3. Domain-Driven Discovery

/generate-implementation-tutorial "Healthcare compliance platform. 
Discover and follow:
- HIPAA requirements in our docs
- Existing medical record patterns
- Compliance frameworks we use
- Security protocols in place"

The prompt becomes domain-aware through discovery!

Real-World v5 Example: Adaptive Implementation Tutorial

Here's how v5 creates truly intelligent tutorials:

Initial Request

/generate-implementation-tutorial "AI-powered code review platform that integrates with GitHub and provides actionable feedback"

What v5 Discovers and Adapts

## Discovery Phase Results

**Existing Assets Found**:
- GitHub integration in `src/lib/github/`
- Review UI components in `src/components/review/`
- Partial webhook implementation

**Adaptive Tutorial Adjustments**:
❌ Not needed: Basic GitHub OAuth (already exists)
✅ Enhanced: Webhook processing for real-time reviews
✅ Added: AI review pipeline architecture
✅ Integrated: Existing UI components

##### Step 2.3: AI Review Pipeline

**Discovered Context**: 
- Project uses streaming for real-time updates
- Existing queue system for background jobs
- Pattern of modular processors

**Adaptive Implementation**:

/execute-task "Build AI review pipeline:

1. Discover existing queue patterns
2. Create modular review processors
3. Implement streaming AI responses
4. Follow discovered error handling patterns
5. Document pipeline architecture

Use sub-agents to parallelize:

• AI prompt engineering
• Processing pipeline
• UI integration"

**Why Adaptive**: Builds on discovered patterns rather than imposing new ones

Tips for v5 Success

1. Trust the Discovery Process

Instead of:
"Build auth with JWT, refresh tokens, and Redis sessions"

Try:
"Build secure authentication that fits our architecture"

Let the prompt discover optimal patterns!

2. Provide Context, Not Implementation

Good v5 Prompt:
"Construction project management application
Must handle:
- Large file uploads (blueprints, photos)
- Offline mobile access for job sites
- Compliance with construction regulations
- Multi-company collaboration"

The prompt will discover the best technical approach.

3. Leverage Learning Loops

# After each phase:
/learn "Analyze Phase 1 implementation and improve remaining phases"

# The tutorial adapts based on learnings!

4. Embrace Emergent Architecture

v4 Thinking: "I need microservices with API Gateway"
v5 Thinking: "I need scalable architecture"

# Let the prompt discover if microservices are right

How v5 Discovery Works

The prompt uses intelligent discovery patterns:

1. Multi-Phase Discovery

Phase 1: Project Structure
- Explore directory tree
- Identify key files
- Understand organization

Phase 2: Pattern Recognition  
- Analyze code patterns
- Discover conventions
- Identify architectural style

Phase 3: Documentation Mining
- Find all documentation
- Extract specifications
- Map knowledge areas

Phase 4: Memory Synthesis
- Read CLAUDE.md files
- Understand decisions
- Build context model

2. Adaptive Command Selection

The prompt:

• Discovers available commands dynamically
• Selects commands that fit discovered patterns
• Adapts command parameters to context
• Creates custom approaches when needed

3. Continuous Learning

• Each execution improves future tutorials
• Patterns are documented automatically
• Knowledge accumulates in memory
• Tutorials become more intelligent over time

Integration with v5 Ecosystem

The implementation tutorial prompt seamlessly integrates with:

Core Prompts

• /create - Intelligent project initialization
• /orchestrate - Deep requirement analysis
• /execute-task - Adaptive task execution
• /discover-context - Pattern discovery

Specialized Prompts

• /add-enterprise-feature - Production features
• /security-audit - Security analysis
• /compose-saas-mvp - Rapid prototyping

Memory Integration

• /document-feature - Knowledge capture
• /learn - Pattern extraction
• Updates - All CLAUDE.md files

v5 Pattern Evolution

Adaptive B2B Pattern

/generate-implementation-tutorial "B2B platform for [industry]"

# v5 discovers and suggests:
# - Optimal tenant isolation strategy
# - Industry-specific compliance needs
# - Scalability patterns that fit
# - Integration points common in industry

Intelligent Marketplace

/generate-implementation-tutorial "Marketplace connecting [buyers] with [sellers]"

# v5 analyzes and adapts:
# - Transaction flow optimization
# - Trust and safety mechanisms
# - Payment provider selection
# - Matching algorithm approaches

Emergent AI Architecture

/generate-implementation-tutorial "AI-powered [solution]"

# v5 explores and recommends:
# - Model selection based on use case
# - Optimal inference architecture
# - Cost optimization strategies
# - User experience patterns

Notice: v5 doesn't need all details upfront - it discovers and adapts!

v5 Troubleshooting

Challenge: "Tutorial seems too generic"

v5 Solution: Add discovery hints

/generate-implementation-tutorial "[Your description]

Please perform deep discovery on:
- Existing code patterns
- Industry best practices
- Similar successful products
- Our specific constraints"

Challenge: "Missing optimal architecture"

v5 Solution: Request exploration

/generate-implementation-tutorial "[Your application idea]

Use sub-agents to explore multiple architectural approaches:
1. Traditional monolith
2. Microservices
3. Serverless
4. Edge-native

Recommend the best fit based on our needs."

Challenge: "Not leveraging existing code"

v5 Solution: Emphasize discovery

/generate-implementation-tutorial "[Your requirements]

First priority: Discover and document all existing:
- Implementations we can build upon
- Patterns we should follow
- Decisions already made
- Code to preserve"

Challenge: "Tutorial doesn't evolve"

v5 Solution: Enable continuous learning

# After each phase:
/learn "Update implementation tutorial based on implementation learnings"

# The tutorial becomes smarter with each iteration!

v5 Best Practices: Intelligence Over Process

1. Enable Rich Discovery

# Good: Let the prompt explore
/generate-implementation-tutorial "Video editing application for content creators

Explore:
- Existing video processing patterns
- Successful competitor approaches  
- Our team's expertise areas
- Available infrastructure options"

# Better: Add constraints for focused discovery
"...with < 100ms latency and $10/user/month budget"

2. Leverage Parallel Intelligence

/generate-implementation-tutorial "[Your project]

Use sub-agents to simultaneously:
1. Research technical approaches
2. Analyze competitor solutions
3. Design optimal architecture
4. Tutorial implementation phases

Synthesize findings into adaptive tutorial."

3. Build Learning Loops

## Continuous Improvement Pattern

1. **Execute Phase**
   /execute-task "Implement Phase 1 following tutorial"

2. **Learn & Adapt**
   /learn "Extract insights from Phase 1"

3. **Update Tutorial**
   /execute-task "Update implementation tutorial with learnings"

4. **Repeat**
   Each phase becomes more intelligent!

4. Trust Emergent Architecture

• Don't over-specify technical details
• Let patterns emerge from discovery
• Document decisions in CLAUDE.md
• Allow architecture to evolve

Next Steps with v5

After generating your adaptive tutorial:

1. Let it breathe: The tutorial will evolve - don't treat it as fixed
2. Start with discovery: Let Phase 1 explore deeply
3. Embrace adaptation: Each phase refines the next
4. Leverage parallelization: Use sub-agents liberally
5. Build knowledge: Every execution makes future tutorials smarter

The v5 Workflow

# 1. Generate adaptive tutorial
/generate-implementation-tutorial "Your vision"

# 2. Execute with intelligence
/execute-task "Implement Phase 1 with deep discovery"

# 3. Learn and improve
/learn "Extract patterns from implementation"

# 4. Adapt remaining phases
/execute-task "Update tutorial based on learnings"

# 5. Repeat with increasing intelligence

Conclusion: The v5 Revolution

The /generate-implementation-tutorial prompt embodies Orchestre v5's philosophy:

From Static to Adaptive

• v4: Generated fixed tutorials from templates
• v5: Creates living tutorials that evolve

From Prescription to Discovery

• v4: Told you what to build
• v5: Discovers optimal approaches

From Process to Intelligence

• v4: Followed rigid workflows
• v5: Adapts to your reality

From Isolation to Integration

• v4: Single-threaded execution
• v5: Parallel discovery and implementation

Key Takeaways for v5

1. Discovery First: Let prompts explore before tutorialning
2. Adaptation Over Specification: Trust emergent architecture
3. Parallel Intelligence: Use sub-agents for speed
4. Continuous Learning: Each execution improves the next
5. Memory as Foundation: CLAUDE.md files are your knowledge base

The v5 Promise

With v5, you're not just following a tutorial - you're partnering with an intelligent system that:

• Learns your patterns
• Adapts to your needs
• Discovers optimal solutions
• Evolves with your project

Welcome to the future of AI-assisted development, where implementation guides think, adapt, and improve!

What's Next?

Continue exploring v5 capabilities:

• Try parallel development with sub-agents
• Experiment with discovery-driven architecture
• Build learning loops into your workflow
• Let patterns emerge naturally

Remember: In v5, the best implementation tutorial is one that discovers and adapts!