Part III: Implementation

Option 1: Claude via API

# flow-agent.py
import anthropic
import json
from datetime import datetime

class FlowAgent:
    def __init__(self, agent_id, stream):
        self.client = anthropic.Client()
        self.agent_id = agent_id
        self.stream = stream
        
    def work_on_objective(self, objective):
        """AI agent works on a specific objective"""
        prompt = f"""
        You are a FLOW implementation agent working on the {self.stream} stream.
        
        Objective: {objective['description']}
        Value: {objective['value']}
        Constraints: {json.dumps(objective.get('constraints', []))}
        
        Please implement this objective following best practices.
        Include tests and documentation.
        """
        
        response = self.client.messages.create(
            model="claude-3-opus-20240229",
            messages=[{"role": "user", "content": prompt}],
            max_tokens=4000
        )
        
        return {
            "objective_id": objective['id'],
            "agent_id": self.agent_id,
            "implementation": response.content,
            "timestamp": datetime.now().isoformat()
        }

Option 2: GitHub Copilot Workspace

# .github/copilot/flow-config.yml
version: 1
flows:
  user-authentication:
    description: "Handle all authentication objectives"
    constraints:
      - "Use existing auth framework"
      - "Maintain backwards compatibility"
      - "Include comprehensive tests"
    
  performance-optimization:
    description: "Improve system performance"
    constraints:
      - "No breaking changes"
      - "Measure before and after"
      - "Document all optimizations"

Continuous Deployment for FLOW

# .github/workflows/flow-cd.yml
name: FLOW Continuous Deployment

on:
  push:
    branches: [main]
  pull_request:
    types: [opened, synchronize]

jobs:
  quality-gates:
    runs-on: ubuntu-latest
    outputs:
      gates-passed: ${{ steps.gates.outputs.passed }}
    
    steps:
      - uses: actions/checkout@v3
      
      - name: Automated Quality Gates
        id: gates
        run: |
          # Run all automated checks
          npm test -- --coverage
          npm run lint
          npm audit --production
          
          # Check coverage threshold
          COVERAGE=$(npm test -- --coverage --json | jq '.total.lines.pct')
          if (( $(echo "$COVERAGE < 80" | bc -l) )); then
            echo "Coverage too low: $COVERAGE%"
            echo "passed=false" >> $GITHUB_OUTPUT
            exit 1
          fi
          
          echo "passed=true" >> $GITHUB_OUTPUT
  
  deploy-to-staging:
    needs: quality-gates
    if: needs.quality-gates.outputs.gates-passed == 'true'
    runs-on: ubuntu-latest
    
    steps:
      - uses: actions/checkout@v3
      
      - name: Deploy to Staging
        run: |
          # Deploy to staging environment
          npm run build
          npm run deploy:staging
          
      - name: Run E2E Tests
        run: npm run test:e2e
  
  deploy-to-production:
    needs: deploy-to-staging
    if: github.ref == 'refs/heads/main'
    runs-on: ubuntu-latest
    
    steps:
      - uses: actions/checkout@v3
      
      - name: Deploy to Production
        run: |
          # Continuous deployment to production
          npm run deploy:production
          
      - name: Notify Stream Guides
        run: |
          # Send notifications about deployment
          curl -X POST $SLACK_WEBHOOK \
            -H 'Content-Type: application/json' \
            -d '{"text":"Deployed to production: ${{ github.sha }}"}'

FLOW Metrics Dashboard

// flow-metrics.js
class FlowMetrics {
  constructor() {
    this.prometheus = new PrometheusClient();
  }
  
  trackObjectiveCompletion(objective, duration) {
    // Track how long objectives take to complete
    this.prometheus.histogram('flow_objective_duration', duration, {
      stream: objective.stream,
      type: objective.type,
      agent_type: objective.agent_type
    });
  }
  
  trackStreamHealth(stream) {
    // Calculate and track stream health metrics
    const health = this.calculateStreamHealth(stream);
    this.prometheus.gauge('flow_stream_health', health, {
      stream: stream.name
    });
  }
  
  calculateStreamHealth(stream) {
    const factors = {
      objectiveAge: this.getAverageObjectiveAge(stream),
      blockerFrequency: this.getBlockerFrequency(stream),
      qualityGatePassRate: this.getQualityGatePassRate(stream),
      agentUtilization: this.getAgentUtilization(stream)
    };
    
    // Weighted health score
    return (
      factors.objectiveAge * 0.3 +
      factors.blockerFrequency * 0.2 +
      factors.qualityGatePassRate * 0.3 +
      factors.agentUtilization * 0.2
    );
  }
}

Real-time Dashboard Configuration

Example FLOW dashboard showing stream health, agent activity, and objective flow