I was getting frustrated with the flood of AI coding tools. Most lists are just noisy, unstructured link dumps that don't help you decide which tool to actually use.

So, I built the directory I wanted for myself. My goal is to provide signal, not more noise.

What makes it different:

- Structured Analysis: Instead of a feature list, I use a consistent schema to compare tools on developer-centric criteria (IDE integration, offline use, model transparency, etc.).

- Qualitative Scoring: A transparent methodology to give a quick read on a tool's strengths and weaknesses, moving beyond just feature-counting.

- Focus on "Job to Be Done": Helping you find the right tool for a specific task.

This is a v1 solo project. It's a static site generated with a custom Node.js script and hosted on Netlify. I know it’s not perfect and tools are missing. I'm posting here for your feedback to make it better.

I'd love to know:

- Is this approach actually useful to you?

- Is the analysis fair? What am I getting wrong?

- What essential tools should I add next?

Appreciate you taking a look. Thanks!