Latest chirps
What our AI guiding principles actually mean
Drafting the principles was easy, the hard part is what happens next.
Comparing open weight AI models and providers
Why and how we select open weight LLMs: a practical guide to comparing AI models and providers, with clear criteria and highlighted options
What I learned from two days of hanging out with AI experts
What AI experts are talking about IRL is different from the noisy online discourse. Here are 5 trends we observed at a machine learning summit in Toronto.
Save the 🌎 : Delete your Stuff!
A simple way to reduce your carbon footprint for Earth Day
Open source AI we use to work on Wagtail
A quick recap of AI tools, models, providers found to work well with Wagtail projects. Things you can try right now.
Five sustainable ways to build habits for learning Wagtail in 2026
Want to learn more about Wagtail this year? Here's what we recommend.
Wagtail Wrapped 2025
The year 2025 led to a more polished and AI-ready version of Wagtail
AI saved me 10 minutes on a blog post: Was it worth it?
While AI technically saved me time, it made the work harder and less interesting
What AI tools get right and wrong with Wagtail
A general look at how useful AI tools are for building Wagtail projects. Observations based on my own experience with one recent project rather than a deep, empirical study.
20,000 Django packages
Measuring the size of the package ecosystem