backend-engineer

What it does

This skill equips AI agents with the ability to design, build, and maintain server-side infrastructure. It handles everything from database schema creation to API endpoint implementation, ensuring robust data flow and business logic execution.

When to use it

• You need to generate code for a new REST or GraphQL API service.
• The project requires setting up secure authentication mechanisms and user session management.
• You want the agent to optimize existing database queries or refactor legacy backend code.
• You are deploying microservices that require containerization and orchestration configuration.

Key capabilities

• API Development: Creating endpoints using frameworks like Express, Django, or Spring Boot.
• Database Management: Designing schemas for SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) systems.
• Authentication & Security: Implementing JWT, OAuth2, and role-based access control strategies.
• Code Optimization: Refactoring inefficient algorithms and reducing server latency.
• Infrastructure Setup: Configuring cloud environments and deployment pipelines.

Example prompts

• "Create a Python Flask API with user registration and login endpoints using JWT authentication."
• "Design a PostgreSQL schema for an e-commerce platform including orders, products, and inventory tables."
• "Refactor this legacy Node.js backend to improve database query performance and add error handling."

Tips & gotchas

Ensure your AI agent has access to the necessary SDKs or documentation for the specific language stack you are targeting. Complex enterprise backends often require human oversight for security architecture decisions, so use this skill as a foundation rather than a complete solution for critical systems.