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by uncivilized 12 days ago
A CUDA kernel, compiler optimization, or anything of similar complexity
1 comments
cmrdporcupine 12 days ago
Feel free to look, but don't bother replying if you have something negative to say, don't feel like having my day ruined by negativity.

https://github.com/rdaum/mica/tree/main/crates/relation-kern...

https://github.com/rdaum/mica/tree/main/crates/vm

https://github.com/rdaum/pagebox/blob/main/crates/wal/src/wa...

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uncivilized 12 days ago
Thanks for sharing. Looks interesting. Was all the code AI generated, or is it a mix?
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cmrdporcupine 12 days ago
that stuff in particular -- AI generated with heavy heavy prompting and up front design work and post-implementation testing

I have CUDA work here somewhere too but I have the repository private right now

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uncivilized 11 days ago
Very cool. Thanks for sharing.
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cmrdporcupine 11 days ago
Here's what is key: never rely fully on the "intelligence" of the model. Build a workflow and/or tooling that allows for empirical improvement. e.g. for performance tuning I have a benchmarking framework and a container/server that contains the differential results available via MCP for the agent to observe as it works. Using /goal and a clear destination you want to get to, it will literally grind for hours and use that help. Doesn't help with architectural stuff, but it does help with producing efficient code.
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