📋 Automated Development Pipeline - Complete Current Context & Progress Report
Last Updated: July 2, 2025 - Tech Stack Selector Integration VERIFIED WORKING
🎯 PROJECT OVERVIEW
Core Vision
Build a fully automated development pipeline that takes developer requirements in natural language and outputs complete, production-ready applications with minimal human intervention.
Success Metrics

80-90% reduction in manual coding for standard applications
Complete project delivery in under 30 minutes
Production-ready code quality (80%+ test coverage)
Zero developer intervention for deployment pipeline

Timeline

Total Duration: 12-week project
Current Position: Week 2.2 (Day 10)
Overall Progress: 40% Complete

🏗️ COMPLETE SYSTEM ARCHITECTURE
Project Location
/Users/yasha/Documents/Tech4biz-Code-Generator/automated-dev-pipeline
Production Architecture Vision
React Frontend (Port 3000) [Week 11-12]
        ↓ HTTP POST
API Gateway (Port 8000) ✅ OPERATIONAL
        ↓ HTTP POST  
n8n Webhook (Port 5678) ✅ OPERATIONAL
        ↓ Orchestrates
6 Microservices (Ports 8001-8006) ✅ OPERATIONAL
        ↓ Results
Generated Application + Deployment
Service Ecosystem (12 Services - All Operational)
🏢 Infrastructure Layer (4 Services)

PostgreSQL (port 5432) - pipeline_postgres ✅ Healthy
Redis (port 6379) - pipeline_redis ✅ Healthy
MongoDB (port 27017) - pipeline_mongodb ✅ Running
RabbitMQ (ports 5672/15672) - pipeline_rabbitmq ✅ Healthy

🔀 Orchestration Layer (1 Service)

n8n (port 5678) - pipeline_n8n ✅ Healthy & Configured

URL: http://localhost:5678
Login: Pipeline Admin / Admin@12345
Webhook URL: http://localhost:5678/webhook-test/generate



🚪 API Gateway Layer (1 Service)

API Gateway (port 8000) - pipeline_api_gateway ✅ Healthy

🤖 Microservices Layer (6 Services)

Requirement Processor (port 8001) - pipeline_requirement_processor ✅ Enhanced & Working
Tech Stack Selector (port 8002) - pipeline_tech_stack_selector ✅ Enhanced & Working ⭐ VERIFIED
Architecture Designer (port 8003) - pipeline_architecture_designer ✅ Healthy (Next to enhance)
Code Generator (port 8004) - pipeline_code_generator ✅ Healthy
Test Generator (port 8005) - pipeline_test_generator ✅ Healthy
Deployment Manager (port 8006) - pipeline_deployment_manager ✅ Healthy

📊 CURRENT WORKFLOW STATUS - VERIFIED WORKING
n8n Workflow: "Development Pipeline - Main"
Webhook Trigger ✅ → HTTP Request (Requirement Processor) ✅ → HTTP Request1 (Tech Stack Selector) ✅ → [NEXT: Architecture Designer]
VERIFIED Data Flow:
1. Webhook Input (Working):
json{
  "projectName": "My Blog App",
  "requirements": "A simple blog with user authentication and post creation",
  "techStack": "React + Node.js"
}
2. Requirement Processor Output (Working):
json{
  "success": true,
  "data": {
    "project_name": "My Blog App",
    "recommendations_summary": {
      "domain": "general_software",
      "complexity": "simple",
      "architecture_pattern": "monolithic"
    },
    "detailed_analysis": {
      "rule_based_context": {
        "security_analysis": {"security_level": "medium"},
        "scale_analysis": {"estimated_scale": "medium"},
        "technical_patterns": {},
        "constraints": {...}
      }
    }
  }
}
3. Tech Stack Selector Configuration (Working):
URL: http://pipeline_tech_stack_selector:8002/api/v1/select
Method: POST
Body Parameters (Using Fields Below):

processed_requirements: {{ $json.data.recommendations_summary }} (Expression mode)
project_name: {{ $json.data.project_name }} (Expression mode)

4. Tech Stack Selector Output (Verified Working):
json{
  "success": true,
  "data": {
    "project_name": "My Blog App",
    "analysis_metadata": {
      "processing_method": "rule_based_only",
      "confidence_score": 0.9,
      "claude_ai_status": "not_available"
    },
    "requirements_analysis": {
      "core_requirements": {
        "domain": "general_software",
        "complexity": "simple",
        "architecture_pattern": "monolithic"
      },
      "technical_requirements": {
        "security_level": "medium",
        "performance_needs": "medium",
        "realtime_needs": false
      },
      "constraints": {
        "team_considerations": {
          "recommended_size": "3-5",
          "skill_level": "mid_senior"
        }
      }
    },
    "stack_recommendations": [
      {
        "stack_name": "Enterprise Conservative",
        "category": "conservative",
        "confidence_score": 0.95,
        "frontend": [{"name": "React", "reasoning": "Conservative enterprise choice"}],
        "backend": [{"name": "Java Spring Boot", "reasoning": "Enterprise-proven"}],
        "database": [{"name": "PostgreSQL", "reasoning": "ACID-compliant"}],
        "infrastructure": [{"name": "Kubernetes", "reasoning": "Enterprise orchestration"}],
        "total_cost_estimate": "High ($15K-50K/month)",
        "implementation_complexity": "High",
        "time_to_market": "6-12 months"
      },
      {
        "stack_name": "Modern Balanced",
        "category": "balanced",
        "confidence_score": 0.9,
        "frontend": [{"name": "React"}],
        "backend": [{"name": "Node.js"}],
        "database": [{"name": "PostgreSQL"}],
        "total_cost_estimate": "Medium ($5K-20K/month)",
        "time_to_market": "3-6 months"
      },
      {
        "stack_name": "Startup Cost-Optimized",
        "category": "cost_optimized", 
        "confidence_score": 0.85,
        "frontend": [{"name": "Vue.js"}],
        "backend": [{"name": "Node.js"}],
        "total_cost_estimate": "Low ($500-5K/month)",
        "time_to_market": "1-3 months"
      }
    ],
    "selection_guidance": {
      "recommended_stack": {
        "stack_name": "Modern Balanced",
        "reasoning": "Good balance of development speed and maintainability"
      },
      "implementation_priorities": [
        "Core application architecture and database design",
        "API development and integration points",
        "Frontend development and user experience"
      ],
      "risk_mitigation": [
        "Provide additional training for complex technologies",
        "Implement robust testing processes"
      ]
    }
  }
}
🎯 IMMEDIATE NEXT STEPS
Current Task: Architecture Designer Integration
Status: Ready to implement - Tech Stack Selector working perfectly
Required Actions:

Enhance Architecture Designer Service (port 8003)

Input: Processed requirements + selected tech stack recommendations
Output: Detailed system architecture, component design, data flow diagrams
API: POST /api/v1/design


Add HTTP Request2 Node in n8n

URL: http://pipeline_architecture_designer:8003/api/v1/design
Input: Combined data from previous services
Body Parameters:

processed_requirements: Full requirement analysis
selected_stack: Recommended tech stack from previous service
project_name: Project identifier




Test Three-Service Flow

Webhook → Requirement Processor → Tech Stack Selector → Architecture Designer



🧪 WORKING TEST COMMANDS
Webhook Test (Verified Working):
bashcurl -X POST http://localhost:5678/webhook-test/generate \
  -H "Content-Type: application/json" \
  -d '{
    "projectName": "My Blog App",
    "requirements": "A simple blog with user authentication and post creation",
    "techStack": "React + Node.js"
  }'
Service Health Verification:
bashcurl http://localhost:8001/health  # Requirement Processor ✅
curl http://localhost:8002/health  # Tech Stack Selector ✅  
curl http://localhost:8003/health  # Architecture Designer (next to enhance)
🛠️ TECHNICAL CONFIGURATION DETAILS
Docker Service Names (Verified):

Service Name: tech-stack-selector (for docker-compose commands)
Container Name: pipeline_tech_stack_selector (for docker logs/exec)

n8n Workflow Configuration (Working):

Workflow: "Development Pipeline - Main"
Webhook: http://localhost:5678/webhook-test/generate
HTTP Request1 Body Mapping:
processed_requirements: {{ $json.data.recommendations_summary }}
project_name: {{ $json.data.project_name }}


Key Integration Points:

Data Handoff: Requirement Processor passes recommendations_summary to Tech Stack Selector
Response Structure: Tech Stack Selector returns comprehensive analysis with multiple stack options
Next Service Input: Architecture Designer will receive both requirement analysis and selected stack

🌟 VERIFIED ACHIEVEMENTS
✅ Two-Service Pipeline Working:

Requirement Processing: Natural language → structured analysis
Tech Stack Selection: Requirements → multiple optimized technology recommendations
Data Flow: Seamless JSON handoff between services
AI Enhancement: Rule-based analysis with Claude AI integration capability

✅ Rich Output Generated:

Multiple Stack Options: Conservative, Balanced, Cost-Optimized
Detailed Analysis: Technology pros/cons, cost estimates, timelines
Implementation Guidance: Priorities, risk mitigation, team considerations
Decision Support: Confidence scores, reasoning, trade-off analysis

🎯 PROJECT TRAJECTORY
Completion Status:

Phase 1 (Infrastructure): 100% ✅
Phase 2 (Service Enhancement): 40% ✅ (2 of 6 services enhanced)
Phase 3 (Workflow Integration): 33% ✅ (2 of 6 services integrated)

Next Milestone:
Architecture Designer Enhancement - Transform tech stack recommendations into detailed system architecture with component diagrams, API specifications, and deployment strategies.
🎯 CURRENT STATE: Two-service automated pipeline operational with intelligent requirement processing and comprehensive tech stack selection. Ready to proceed with architecture design automation.