Engineering Team

The Engineering Team is a specialized multi-agent team that handles the complete software development lifecycle, from architecture design to deployment and security review.

Overview

The Engineering Team combines six specialized agents to deliver production-ready software:

Cody - Technical Architect (Team Lead)
Tom - Backend Developer
Rae - Frontend Developer
Quinn - QA Engineer
Sam - Security Engineer
Dev - DevOps Engineer

Team Composition

Cody - Technical Architect (Lead)

Role: Technical leadership and system design

Responsibilities:

System architecture and design
Technology stack selection
Code review and quality standards
Technical decision-making
Team coordination

Capabilities:

System design patterns
Database architecture
API design
Performance optimization
Scalability planning

Tools:

Architecture diagrams (Mermaid, C4)
Documentation (Markdown, MDX)
Design patterns and best practices

Tom - Backend Developer

Role: Server-side development and APIs

Responsibilities:

API development and design
Database design and optimization
Business logic implementation
Integration with third-party services
Performance optimization

Capabilities:

RESTful and GraphQL APIs
Database design (SQL, NoSQL)
Authentication and authorization
Microservices architecture
Background job processing

Tools:

Node.js, Python, Go
PostgreSQL, MongoDB, Redis
Docker, Kubernetes
AWS, Cloudflare

Rae - Frontend Developer

Role: Client-side development and user interfaces

Responsibilities:

UI implementation
Frontend architecture
State management
Performance optimization
Accessibility compliance

Capabilities:

React, Next.js, Vue
TypeScript, JavaScript
Responsive design
Progressive web apps
Component libraries

Tools:

React, Next.js, Astro
TailwindCSS, CSS-in-JS
Webpack, Vite, Turbopack
Testing libraries

Quinn - QA Engineer

Role: Quality assurance and testing

Responsibilities:

Test strategy and planning
Automated testing
Manual testing
Bug tracking and triage
Quality metrics

Capabilities:

Unit testing
Integration testing
End-to-end testing
Performance testing
Load testing

Tools:

Vitest, Jest, Playwright
Cypress, Selenium
K6, Artillery
GitHub Issues

Sam - Security Engineer

Role: Security review and compliance

Responsibilities:

Security architecture review
Vulnerability assessment
Secure coding practices
Compliance verification
Security documentation

Capabilities:

OWASP Top 10
Penetration testing
Security audits
Compliance (SOC2, GDPR)
Threat modeling

Tools:

Security scanners
Penetration testing tools
Compliance frameworks
Security documentation

Dev - DevOps Engineer

Role: Infrastructure and deployment

Responsibilities:

CI/CD pipeline setup
Infrastructure as code
Deployment automation
Monitoring and alerting
Performance optimization

Capabilities:

Cloudflare Workers
Docker, Kubernetes
GitHub Actions
Infrastructure monitoring
Log aggregation

Tools:

Wrangler, Terraform
Docker, Kubernetes
GitHub Actions
Datadog, Sentry

Workflows

1. Discovery Phase

Duration: 1-3 days

Activities:

Requirements gathering (Cody, Tom, Rae)
Technical feasibility assessment (Cody)
Technology stack recommendation (Cody, Tom, Rae)
Project timeline estimation (Cody)

Deliverables:

Technical specification
Architecture proposal
Technology stack recommendation
Project timeline

2. Architecture Phase

Duration: 3-5 days

Activities:

System architecture design (Cody)
Database schema design (Tom)
API specification (Tom, Cody)
Frontend architecture (Rae, Cody)
Security architecture (Sam, Cody)

Deliverables:

Architecture diagrams
Database schema
API specification (OpenAPI)
Security requirements
Technology decisions document

3. Development Phase

Duration: 2-8 weeks (project-dependent)

Activities:

Backend implementation (Tom)
Frontend implementation (Rae)
Code reviews (Cody, Tom, Rae)
Security reviews (Sam)
Infrastructure setup (Dev)

Deliverables:

Working application
API documentation
Code repository
Development environment
Deployment scripts

4. Testing Phase

Duration: 1-2 weeks

Activities:

Unit test development (Tom, Rae, Quinn)
Integration testing (Quinn, Tom)
End-to-end testing (Quinn, Rae)
Performance testing (Quinn, Dev)
Security testing (Sam, Quinn)

Deliverables:

Test suite (90%+ coverage)
Test reports
Bug reports and fixes
Performance benchmarks
Security audit report

5. Deployment Phase

Duration: 2-5 days

Activities:

Production environment setup (Dev)
CI/CD pipeline configuration (Dev)
Deployment automation (Dev)
Monitoring and alerting (Dev)
Final security review (Sam)

Deliverables:

Production deployment
CI/CD pipeline
Monitoring dashboards
Runbooks and documentation
Security sign-off

6. Post-Launch Phase

Duration: Ongoing

Activities:

Performance monitoring (Dev)
Bug fixes (Tom, Rae)
Feature enhancements (Tom, Rae)
Security updates (Sam)
Continuous improvement (All)

Deliverables:

Performance reports
Bug fixes and patches
Feature updates
Security patches
Documentation updates

Example Use Cases

Use Case 1: SaaS Application Development

Project: Build a SaaS analytics platform

Requirements:

Real-time data processing
Interactive dashboards
Multi-tenancy
RESTful API
User authentication
Team collaboration features

Team Workflow:

Discovery (3 days)
- Cody leads requirements analysis
- Team evaluates tech stack options
- Architecture proposal created
Architecture (5 days)
- Cody designs system architecture
- Tom designs database schema and API
- Rae designs frontend architecture
- Sam reviews security requirements
- Dev plans infrastructure
Development (6 weeks)
- Tom builds backend API and data pipeline
- Rae builds dashboard UI and visualizations
- Quinn writes tests throughout
- Sam conducts weekly security reviews
- Dev sets up staging environment
Testing (2 weeks)
- Quinn runs comprehensive test suite
- Team fixes identified bugs
- Sam performs security audit
- Dev tests deployment process
Deployment (3 days)
- Dev deploys to production
- Team monitors launch
- Sam verifies security in production

Timeline: 8 weeks Cost: $320,000 (6 agents × $800/day × 40 days)

Use Case 2: API Development

Project: Build RESTful API for mobile app backend

Requirements:

User authentication
Data synchronization
Push notifications
File uploads
Rate limiting
API documentation

Team Workflow:

Discovery (2 days)
- Requirements gathering
- API specification draft
Architecture (3 days)
- API design (OpenAPI spec)
- Database schema
- Authentication strategy
Development (3 weeks)
- Tom implements API endpoints
- Quinn writes API tests
- Sam reviews authentication
- Dev sets up infrastructure
Testing (1 week)
- Quinn tests all endpoints
- Performance testing
- Security testing
Deployment (2 days)
- Production deployment
- Documentation published

Timeline: 4 weeks Cost: $64,000 (4 agents × $800/day × 20 days)

Use Case 3: Legacy System Migration

Project: Migrate monolithic application to microservices

Requirements:

Incremental migration strategy
Zero downtime
Data migration
API compatibility
Performance improvement

Team Workflow:

Discovery (5 days)
- Legacy system analysis
- Migration strategy planning
- Risk assessment
Architecture (1 week)
- Microservices design
- API gateway design
- Data migration plan
- Rollback strategy
Development (12 weeks)
- Service-by-service migration
- Data migration scripts
- API compatibility layer
- Monitoring and observability
Testing (3 weeks)
- Integration testing
- Performance testing
- Rollback testing
- Load testing
Deployment (2 weeks)
- Phased rollout
- Monitoring and validation
- Legacy system sunset

Timeline: 16 weeks Cost: $512,000 (6 agents × $800/day × 80 days)

API Reference

Invoke Engineering Team

POST https://api.do/agents/teams/team_engineering/assign

Request Body

{
  "task": "Build SaaS analytics platform",
  "requirements": {
    "features": ["Real-time data processing", "Interactive dashboards", "Multi-tenancy", "RESTful API"],
    "stack": "React, Node.js, PostgreSQL, Redis",
    "scale": "10k users",
    "timeline": "8 weeks",
    "budget": "$320,000"
  },
  "priority": "high",
  "deadline": "2024-12-31T00:00:00Z"
}

Response

{
  "success": true,
  "data": {
    "projectId": "proj_eng_abc123",
    "teamId": "team_engineering",
    "status": "planning",
    "assignments": [
      {
        "agentId": "cody",
        "phase": "architecture",
        "tasks": ["System design", "Tech stack selection"],
        "estimatedDuration": "1 week"
      },
      {
        "agentId": "tom",
        "phase": "development",
        "tasks": ["Backend API", "Data pipeline"],
        "estimatedDuration": "6 weeks"
      },
      {
        "agentId": "rae",
        "phase": "development",
        "tasks": ["Dashboard UI", "Visualizations"],
        "estimatedDuration": "6 weeks"
      },
      {
        "agentId": "quinn",
        "phase": "testing",
        "tasks": ["Test automation", "QA"],
        "estimatedDuration": "2 weeks"
      },
      {
        "agentId": "sam",
        "phase": "security",
        "tasks": ["Security audit", "Compliance"],
        "estimatedDuration": "1 week"
      },
      {
        "agentId": "dev",
        "phase": "deployment",
        "tasks": ["CI/CD setup", "Infrastructure"],
        "estimatedDuration": "1 week"
      }
    ],
    "timeline": {
      "start": "2024-11-01T00:00:00Z",
      "estimatedCompletion": "2024-12-27T00:00:00Z",
      "duration": "8 weeks"
    },
    "estimatedCost": "$320,000"
  }
}

SDK Example

import { $ } from 'sdk.do'

// Assign project to Engineering Team
const project = await $.Team.assign({
  teamId: 'team_engineering',
  task: 'Build SaaS analytics platform',
  requirements: {
    features: ['Real-time data', 'Dashboards', 'Multi-tenancy'],
    stack: 'React, Node.js, PostgreSQL',
    scale: '10k users',
    timeline: '8 weeks',
  },
  priority: 'high',
})

// Monitor progress
const status = await $.Project.get(project.projectId)
console.log(`Phase: ${status.currentPhase}`)
console.log(`Progress: ${status.progress}%`)

// Get deliverables
const deliverables = await $.Project.getDeliverables(project.projectId)

CLI Example

# Assign project to Engineering Team
do team assign team_engineering "Build SaaS analytics platform" \
  --requirements requirements.json \
  --priority high \
  --deadline "2024-12-31"

# Check project status
do project status proj_eng_abc123

# Get deliverables
do project deliverables proj_eng_abc123

Pricing

Hourly Rate

$800/hour for the complete 6-agent team

Individual agent rates:

Cody (Architect): $150/hour
Tom (Backend): $140/hour
Rae (Frontend): $140/hour
Quinn (QA): $120/hour
Sam (Security): $130/hour
Dev (DevOps): $120/hour

Monthly Subscription

$40,000/month for dedicated team capacity

Includes:

200 hours/month of team time
Priority support
Regular status updates
Continuous delivery

Project-Based

Fixed pricing for common project types:

Project Type	Timeline	Price
MVP Development	4 weeks	$128,000
Full Application	8 weeks	$256,000
API Development	3 weeks	$96,000
System Migration	12 weeks	$384,000
Feature Development	2 weeks	$64,000

Learn more about pricing →

Best Practices

1. Provide Clear Requirements

Help the team deliver better results:

await $.Team.assign({
  teamId: 'team_engineering',
  task: 'Build analytics platform',
  requirements: {
    // Be specific about features
    features: ['Real-time dashboards', 'Custom reports', 'Alerts'],

    // Specify tech preferences
    stack: 'React, Node.js, PostgreSQL',

    // Define scale requirements
    scale: '10k concurrent users',

    // Set timeline expectations
    timeline: '8 weeks',

    // Include must-haves vs nice-to-haves
    mustHave: ['Security', 'Performance', 'Reliability'],
    niceToHave: ['Analytics', 'A/B testing'],
  },
})

2. Regular Check-ins

Schedule milestone reviews:

Week 1: Architecture review
Week 2-6: Weekly progress updates
Week 7: Security review
Week 8: Final delivery

3. Leverage Individual Agents

For smaller tasks, use individual agents:

// Quick architecture review
await $.Agent.invoke({
  agentId: 'cody',
  task: 'Review system architecture',
  context: { diagram: 'arch-v2.png' },
})

// Backend feature
await $.Agent.invoke({
  agentId: 'tom',
  task: 'Add user export API',
  context: { spec: 'export-api.yaml' },
})

4. Continuous Monitoring

Track team performance:

Code quality metrics
Test coverage
Deployment frequency
Bug resolution time
Security scan results

Support

Documentation: docs.do
API Status: status.do
Community: Discord
Support: support@do

Engineering Team

On this page