From personal AI experiments to shared tools

In April 2025, I published Claude Code meets Drupal, my first public experiment with an AI coding agent. I have been experimenting with coding agents ever since, often by building tools to solve problems in my own work.

Last week, I joined the Drupal AI Learners Club to discuss several experiments I had already published. Angie Byron started the club and runs it with co-organizer Amber Himes Matz. It gives people in the Drupal community a place to show how they are using AI and talk honestly about what works and what does not.

I spent an hour walking through some of my AI experiments, starting with Drupal Digests, a tool that uses AI to summarize key developments across Drupal Core, Drupal CMS, Drupal Canvas, and the Drupal AI initiative.

Drupal Digests led to another experiment: AI-generated Rector rules. When a Drupal Core change deprecates an API, Drupal Digests analyzes the issue and code changes and generates a rule that can automate the corresponding upgrade in other Drupal projects.

I also showed my API Catalog that helps AI agents discover my website's search API.

These are only some of my AI experiments. Most begin as tools I build for myself, and many never go any further. When one seems useful beyond my own work, I publish it so others can benefit from it.

Once a tool is public, we can see whether people use it and want to help improve it. If they do, it may eventually become a proper community project. If not, that is useful to know too.

The recording goes into more detail, with demonstrations of the tools and questions from the group. You can watch it below.