Here’s a link to the recording: you will need to be logged into Zoom to view it.
Passcode: L39Ji?P.
Meeting Summary
Capturing latent requirements, and discussing trade-offs for Allium v4.
Brilliant to be joined by @tburny, who shared recent wins with Allium, including distilling a spec from a long-neglected CLI project that surfaced more than 25 bugs. He also shared his ubiquitous-language work at ubiquitouslanguage.org, a SKOS-based glossary for catching semantic debt and defend against AI inventing and amplifying its own terms.
Henry shared some as-yet unpublished analysis comparing AI-mediated requirements-capture skills. Key takeaway: Allium captures more latent requirements than the alternatives tested. There’s no free lunch though, and the trade-off is that it asks more questions, so it demands more of the human operator.
Most of the hour went to discussing in-progress work on Allium v4, and it raised some interesting questions. I’ll start a separate thread to gather feedback on them.
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