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feature-development

Orchestrate end-to-end feature development from requirements to production deployment:

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Orchestrate end-to-end feature development from requirements to production deployment:

[Extended thinking: This workflow orchestrates specialized agents through comprehensive feature development phases - from discovery and planning through implementation, testing, and deployment. Each phase builds on previous outputs, ensuring coherent feature delivery. The workflow supports multiple development methodologies (traditional, TDD/BDD, DDD), feature complexity levels, and modern deployment strategies including feature flags, gradual rollouts, and observability-first development. Agents receive detailed context from previous phases to maintain consistency and quality throughout the development lifecycle.]

Configuration Options

Development Methodology

  • traditional: Sequential development with testing after implementation
  • tdd: Test-Driven Development with red-green-refactor cycles
  • bdd: Behavior-Driven Development with scenario-based testing
  • ddd: Domain-Driven Design with bounded contexts and aggregates

Feature Complexity

  • simple: Single service, minimal integration (1-2 days)
  • medium: Multiple services, moderate integration (3-5 days)
  • complex: Cross-domain, extensive integration (1-2 weeks)
  • epic: Major architectural changes, multiple teams (2+ weeks)

Deployment Strategy

  • direct: Immediate rollout to all users
  • canary: Gradual rollout starting with 5% of traffic
  • feature-flag: Controlled activation via feature toggles
  • blue-green: Zero-downtime deployment with instant rollback
  • a-b-test: Split traffic for experimentation and metrics

Phase 1: Discovery & Requirements Planning

  1. Business Analysis & Requirements
  • Do this step directly in Codex CLI (legacy playbook referenced subagent: business-analytics::business-analyst).
  • Instruction: "Analyze feature requirements for: (use the user's prompt). Define user stories, acceptance criteria, success metrics, and business value. Identify stakeholders, dependencies, and risks. Create feature specification document with clear scope boundaries."
    • Expected output: Requirements document with user stories, success metrics, risk assessment
    • Context: Initial feature request and business context
  1. Technical Architecture Design
  • Do this step directly in Codex CLI (legacy playbook referenced subagent: comprehensive-review::architect-review).
  • Instruction: "Design technical architecture for feature: (use the user's prompt). Using requirements: [include business analysis from step 1]. Define service boundaries, API contracts, data models, integration points, and technology stack. Consider scalability, performance, and security requirements."
    • Expected output: Technical design document with architecture diagrams, API specifications, data models
    • Context: Business requirements, existing system architecture
  1. Feasibility & Risk Assessment
  • Do this step directly in Codex CLI (legacy playbook referenced subagent: security-scanning::security-auditor).
  • Instruction: "Assess security implications and risks for feature: (use the user's prompt). Review architecture: [include technical design from step 2]. Identify security requirements, compliance needs, data privacy concerns, and potential vulnerabilities."
    • Expected output: Security assessment with risk matrix, compliance checklist, mitigation strategies
    • Context: Technical design, regulatory requirements

Phase 2: Implementation & Development

  1. Backend Services Implementation
  • Do this step directly in Codex CLI (legacy playbook referenced subagent: backend-architect).
  • Instruction: "Implement backend services for: (use the user's prompt). Follow technical design: [include architecture from step 2]. Build RESTful/GraphQL APIs, implement business logic, integrate with data layer, add resilience patterns (circuit breakers, retries), implement caching strategies. Include feature flags for gradual rollout."
    • Expected output: Backend services with APIs, business logic, database integration, feature flags
    • Context: Technical design, API contracts, data models
  1. Frontend Implementation
  • Do this step directly in Codex CLI (legacy playbook referenced subagent: frontend-mobile-development::frontend-developer).
  • Instruction: "Build frontend components for: (use the user's prompt). Integrate with backend APIs: [include API endpoints from step 4]. Implement responsive UI, state management, error handling, loading states, and analytics tracking. Add feature flag integration for A/B testing capabilities."
    • Expected output: Frontend components with API integration, state management, analytics
    • Context: Backend APIs, UI/UX designs, user stories
  1. Data Pipeline & Integration
  • Do this step directly in Codex CLI (legacy playbook referenced subagent: data-engineering::data-engineer).
  • Instruction: "Build data pipelines for: (use the user's prompt). Design ETL/ELT processes, implement data validation, create analytics events, set up data quality monitoring. Integrate with product analytics platforms for feature usage tracking."
    • Expected output: Data pipelines, analytics events, data quality checks
    • Context: Data requirements, analytics needs, existing data infrastructure

Phase 3: Testing & Quality Assurance

  1. Automated Test Suite
  • Do this step directly in Codex CLI (legacy playbook referenced subagent: unit-testing::test-automator).
  • Instruction: "Create comprehensive test suite for: (use the user's prompt). Write unit tests for backend: [from step 4] and frontend: [from step 5]. Add integration tests for API endpoints, E2E tests for critical user journeys, performance tests for scalability validation. Ensure minimum 80% code coverage."
    • Expected output: Test suites with unit, integration, E2E, and performance tests
    • Context: Implementation code, acceptance criteria, test requirements
  1. Security Validation
  • Do this step directly in Codex CLI (legacy playbook referenced subagent: security-scanning::security-auditor).
  • Instruction: "Perform security testing for: (use the user's prompt). Review implementation: [include backend and frontend from steps 4-5]. Run OWASP checks, penetration testing, dependency scanning, and compliance validation. Verify data encryption, authentication, and authorization."
    • Expected output: Security test results, vulnerability report, remediation actions
    • Context: Implementation code, security requirements
  1. Performance Optimization
  • Do this step directly in Codex CLI (legacy playbook referenced subagent: application-performance::performance-engineer).
  • Instruction: "Optimize performance for: (use the user's prompt). Analyze backend services: [from step 4] and frontend: [from step 5]. Profile code, optimize queries, implement caching, reduce bundle sizes, improve load times. Set up performance budgets and monitoring."
    • Expected output: Performance improvements, optimization report, performance metrics
    • Context: Implementation code, performance requirements

Phase 4: Deployment & Monitoring

  1. Deployment Strategy & Pipeline
  • Do this step directly in Codex CLI (legacy playbook referenced subagent: deployment-strategies::deployment-engineer).
  • Instruction: "Prepare deployment for: (use the user's prompt). Create CI/CD pipeline with automated tests: [from step 7]. Configure feature flags for gradual rollout, implement blue-green deployment, set up rollback procedures. Create deployment runbook and rollback plan."
    • Expected output: CI/CD pipeline, deployment configuration, rollback procedures
    • Context: Test suites, infrastructure requirements, deployment strategy
  1. Observability & Monitoring
  • Do this step directly in Codex CLI (legacy playbook referenced subagent: observability-monitoring::observability-engineer).
  • Instruction: "Set up observability for: (use the user's prompt). Implement distributed tracing, custom metrics, error tracking, and alerting. Create dashboards for feature usage, performance metrics, error rates, and business KPIs. Set up SLOs/SLIs with automated alerts."
    • Expected output: Monitoring dashboards, alerts, SLO definitions, observability infrastructure
    • Context: Feature implementation, success metrics, operational requirements
  1. Documentation & Knowledge Transfer
  • Do this step directly in Codex CLI (legacy playbook referenced subagent: documentation-generation::docs-architect).
  • Instruction: "Generate comprehensive documentation for: (use the user's prompt). Create API documentation, user guides, deployment guides, troubleshooting runbooks. Include architecture diagrams, data flow diagrams, and integration guides. Generate automated changelog from commits."
    • Expected output: API docs, user guides, runbooks, architecture documentation
    • Context: All previous phases' outputs

Execution Parameters

Required Parameters

  • --feature: Feature name and description
  • --methodology: Development approach (traditional|tdd|bdd|ddd)
  • --complexity: Feature complexity level (simple|medium|complex|epic)

Optional Parameters

  • --deployment-strategy: Deployment approach (direct|canary|feature-flag|blue-green|a-b-test)
  • --test-coverage-min: Minimum test coverage threshold (default: 80%)
  • --performance-budget: Performance requirements (e.g., <200ms response time)
  • --rollout-percentage: Initial rollout percentage for gradual deployment (default: 5%)
  • --feature-flag-service: Feature flag provider (launchdarkly|split|unleash|custom)
  • --analytics-platform: Analytics integration (segment|amplitude|mixpanel|custom)
  • --monitoring-stack: Observability tools (datadog|newrelic|grafana|custom)

Success Criteria

  • All acceptance criteria from business requirements are met
  • Test coverage exceeds minimum threshold (80% default)
  • Security scan shows no critical vulnerabilities
  • Performance meets defined budgets and SLOs
  • Feature flags configured for controlled rollout
  • Monitoring and alerting fully operational
  • Documentation complete and approved
  • Successful deployment to production with rollback capability
  • Product analytics tracking feature usage
  • A/B test metrics configured (if applicable)

Rollback Strategy

If issues arise during or after deployment:

  1. Immediate feature flag disable (< 1 minute)
  2. Blue-green traffic switch (< 5 minutes)
  3. Full deployment rollback via CI/CD (< 15 minutes)
  4. Database migration rollback if needed (coordinate with data team)
  5. Incident post-mortem and fixes before re-deployment

Feature description: (use the user's prompt)

Output Format

<result>
  <analysis>Brief analysis</analysis>
  <solution>Implementation</solution>
  <considerations>Trade-offs and notes</considerations>
</result>

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