hexagonal-architecture

## Overview

In the evolving landscape of AI agents, the **hexagonal-architecture** skill stands out as an essential tool for developers and businesses seeking to evaluate the performance of various coding agents. By enabling a head-to-head comparison of prominent coding solutions like **Claude Code**, **Aider**, and **Codex**, this skill allows you to assess each agent against custom tasks based on pass rate, cost, time efficiency, and consistency metrics. Whether you’re a seasoned developer or just starting out in the realm of automation, you can leverage the hexagonal architecture to make informed decisions about which coding agent fits your project requirements best.

You no longer need to sift through mountains of data or rely on subjective reviews; this skill provides a clear, quantifiable analysis that helps you choose the right AI solution. By understanding how each coding agent performs in specific scenarios, you can streamline your development process and optimize resource allocation.

## Key Capabilities

- **Side-by-side Comparisons**: Instantly compare multiple coding agents on identical custom tasks to evaluate their strengths and weaknesses.
- **Performance Metrics**: Access detailed metrics, including pass rate, execution time, and cost projections, providing a comprehensive view of each agent's performance.
- **Consistency Analysis**: Evaluate how consistently each coding agent delivers results, ensuring reliability in your development processes.
- **User-Friendly Interface**: Navigate a straightforward dashboard that allows you to input tasks easily and receive instant comparisons.
- **Custom Task Inputs**: Tailor your comparison tasks to reflect the specific needs of your projects, ensuring relevance and applicability to your development objectives.

## Use Cases

1. **Optimizing Code Reviews**: You can use the hexagonal-architecture skill to compare coding agents when conducting code reviews. By analyzing their pass rates and time taken to review, you’ll identify the most efficient agent for ensuring code quality.

2. **Cost Assessment for Projects**: If you’re managing a budget for a software development project, this skill enables you to compare the costs associated with using different coding agents. For instance, you can evaluate both **Claude Code** and **Codex** to find the most cost-effective solution for automating tasks.

3. **Evaluating Consistency for Long-term Projects**: When embarking on complex, long-term projects, it’s crucial to choose a coding agent whose results are dependable over time. By using the hexagonal-architecture skill, you can track the consistency of results from agents like **Aider** compared to others, ensuring that your project stays on track without unexpected hurdles.

4. **Integration into CI/CD Pipelines**: In software development lifecycle models like CI/CD, consistency and reliability are key. You can evaluate different coding agents' integration capabilities and effectiveness, ensuring the best fit for seamless deployment.

## Example Prompts

1. "Compare the performance of Claude Code and Codex on a task requiring basic algorithm implementations, focusing on pass rate and execution time."
2. "What are the cost implications for using Aider versus Claude Code for a one-month software development project?"
3. "Assess the consistency of results from Codex and Aider when tasked with generating test cases for a mobile application."

Utilize the hexagonal-architecture skill to gain insightful comparisons and drive your automation efforts forward with precision. Make informed decisions and elevate your project outcomes today!