A while back I wrote an article explaining how I was working with AI on my Drupal projects using DDEV containers with Drupal-specific agents and skills. Several people asked me to share it but I couldn't, because it had client data in it. I've cleaned it up and published everything as open source DDEV add-ons: a meta add-on that installs Claude Code, OpenCode, specialized agents and skills for Drupal 10/11, and several supporting pieces with a single command.

I explain it in detail in the article:
https://menetray.com/en/blog/ddev-ai-workspace-ive-published-my-full-drupal-ai-development-setup

If you work with Drupal, I'd love to hear what you think: whether you try it, if you find it useful, if you'd actually use it. If you run into any issues, let me know here or open an issue on the matching repo and I'll fix it as soon as I can.

https://github.com/trebormc/ddev-ai-workspace

Just published a contributed module on drupal.org for auditing Drupal projects:

https://www.drupal.org/project/audit

It analyzes your installation and gives you scored reports across different categories: module updates, security, cache, performance, SEO, fields, Views... with concrete recommendations in each one. It's built around independent submodules so you only enable what makes sense for each project.

The idea is that you install it, run the audit, and get a clear picture of what's wrong and where to focus. It works on any hosting, everything stays on your server, and most submodules are fine to run on production. The only exceptions are audit_phpstan and audit_phpcs, which do static code analysis and require dev dependencies so those are better suited for development or staging environments.

Curious how you currently handle audits across your Drupal projects and whether something like this would fit into your workflow or not. Any feedback is welcome.