Live at

on YouTube ↗12m

" summary

Discusses applying large language models to real F# codebases and reports early experiments probing the Wolfenstein repo — specifically the Wolfenstein FDAP code — to find paired allocation hotspots that, when removed, measurably reduce allocations and speed the compiler. Describes community-led open source governance with Prague-based maintainers, and concrete exploration of shipping F# into other ecosystems via F# to Python and JavaScript paths, including packaging strategies to run F# components inside Python.

AI-written summary · about

" chapters (10)

1. 0:00Welcome
2. 1:06Community support
3. 2:30Changing event formats
4. 3:57Open source growth
5. 5:21Language design shift
6. 7:08F# community evolution
7. 8:14F# technical innovation
8. 9:19Future of F#
9. 10:23F# in Python and JS
10. 11:47Closing

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