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Built for Every
Development Scenario

From SaaS to ML pipelines — AI teams that understand your domain.

SaaS Applications

Build complete SaaS platforms with authentication, billing, and admin dashboards in days, not months.

  • User authentication and authorization flows
  • Subscription and billing integration
  • Admin dashboards and analytics
  • Multi-tenant architecture
  • API design and documentation

Typical Workflow

Commander analyzes requirements → Architect designs schema → Coder implements features → Reviewer validates security → Docs Writer creates API documentation

API Development

Generate RESTful and GraphQL APIs with automatic documentation and test coverage.

  • Endpoint design and routing
  • Request/response validation
  • Authentication middleware
  • Rate limiting and caching
  • OpenAPI/Swagger documentation
  • Automated test generation

Model Assignment Example

Architect Claude — API design decisions
Coder Ollama — Implementation volume
Reviewer GPT — Code quality gates
Tester Ollama — Test case generation

Mobile Apps

Create React Native or Flutter applications with consistent architecture and state management.

  • Component architecture
  • State management setup
  • Navigation flows
  • API integration
  • Platform-specific optimizations
  • UI/UX implementation

Best For

Cross-platform apps Rapid prototyping MVP development Feature additions

Data Engineering

Design and implement ETL workflows, data warehouses, and real-time processing systems.

  • ETL pipeline design
  • Data transformation logic
  • Schema design and migrations
  • Query optimization
  • Data validation rules
  • Pipeline monitoring

Model Assignment Example

Architect Claude — Pipeline architecture
Coder Ollama — Transformation scripts
Analyst Gemini — Data quality checks
DevOps Ollama — Deployment automation

Machine Learning

Develop ML pipelines from data preparation to model deployment with best practices built-in.

  • Data preprocessing pipelines
  • Feature engineering
  • Model selection and training
  • Hyperparameter tuning
  • Model evaluation and validation
  • Deployment and serving
  • Monitoring and retraining

Security Note: Security role reviews model inputs/outputs for data leakage and bias.

DevOps Automation

Set up CI/CD pipelines, infrastructure as code, and monitoring systems automatically.

  • CI/CD pipeline configuration
  • Docker and container setup
  • Kubernetes manifests
  • Infrastructure as Code (Terraform, Pulumi)
  • Monitoring and alerting
  • Log aggregation
  • Secret management

Workflow Example

Commander receives task → DevOps writes IaC → Security reviews permissions → Reviewer validates best practices → Tester runs smoke tests

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