agentic-engineering

What problem does it solve?

This Skill streamlines complex engineering tasks by leveraging AI agents for implementation, guided by rigorous evaluation and cost-conscious resource allocation.

Core Features & Use Cases

• Eval-First Execution: Ensures quality and correctness through predefined evaluations before and after implementation.
• Task Decomposition: Breaks down large engineering problems into manageable, verifiable units.
• Cost-Aware Model Routing: Optimizes resource usage by selecting the appropriate AI model tier based on task complexity.
• Use Case: Developing a new microservice where an AI architect designs the API, an AI engineer implements the code, and automated tests verify functionality against defined criteria, all while managing API costs.

Quick Start

Operate as an agentic engineer to implement the 'user-authentication' module following the eval-first loop.