Calling AI generated code slop often says less about the code than about our willingness to read it. Why it feels like onboarding every day, and how I cope.
A set of hands-on JupyterLab workshops for Tachyon, the sampling profiler in Python 3.15, and the story of why I wrote them to learn it myself.
Seventy free hands-on workshops, from writing decorators with just the standard library through wrapt to testing and tracing with wrapture. Nothing to install.
Writing a small guided workshop for JupyterLab from nothing with jupyterlab-workshop: the manifest, pages, actions, checks, linting, self-testing and author mode.
A JupyterLab extension for guided interactive workshops, with instructions in a side panel whose actions drive the session and check the learner's work as they go.
A summary of my PyCon AU 2026 talk on whether developer workshops still matter when anyone can ask an AI, and why I released 24 wrapture workshops anyway.
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