Backend Development Feature Development

What it does

This skill orchestrates end-to-end backend feature development, guiding an AI agent through a comprehensive workflow from initial requirements to production deployment. It manages various phases including planning, implementation, testing, and rollout, ensuring consistent quality and coherence throughout the process. The skill supports different development methodologies (traditional, TDD/BDD, DDD) and accommodates varying levels of feature complexity and modern deployment strategies like feature flags and gradual rollouts.

When to use it

• Coordinating end-to-end feature delivery across backend, frontend, and data components.
• Managing requirements, architecture, implementation, testing, and rollout for a new feature.
• Planning changes involving multiple services with associated deployment and monitoring needs.
• Aligning teams on the scope, risks, and success metrics of a complex feature.

Key capabilities

• Orchestrates specialized agents through distinct development phases.
• Supports various development methodologies: traditional, Test-Driven Development (TDD), Behavior-Driven Development (BDD), and Domain-Driven Design (DDD).
• Handles features ranging from simple to epic complexity levels.
• Implements diverse deployment strategies including direct rollout, canary releases, feature flags, blue-green deployments, and A/B testing.
• Utilizes a "business-analyst" subagent for business analysis and requirements gathering.

Example prompts

• “Orchestrate the development of a new user authentication system using a TDD methodology with medium complexity and a canary deployment strategy.”
• “Plan the rollout of a feature that requires changes across multiple services, utilizing a blue-green deployment approach."
• "Develop a complex feature requiring cross-domain integration, employing Domain-Driven Design principles.”

Tips & gotchas

• Always confirm the feature scope, success metrics, and constraints before starting.
• This skill is not suitable for small, isolated backend changes or bug fixes that don't require coordination.
• Validate data migrations and feature flags in a staging environment before deploying to production.