Protty (@kingprotty) 's Twitter Profile
Protty

@kingprotty

Program Optimizer. @ziglang core team and concurrency/IO guy.

ID: 1157686591973814272

linkhttps://github.com/kprotty calendar_today03-08-2019 16:16:07

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Pekka Enberg (@penberg) 's Twitter Profile Photo

I was blown away how clean the code for LSM compaction in TigerBeetle is, despite the complexity of callback model. Then Joran Dirk Greef told me that they rewrote it once and are will maybe rewrite it again because they're totally happy with it. That's commitment to code quality!

Phil Eaton (@eatonphil) 's Twitter Profile Photo

I turn 30 next week and in lieu of other plans I'm doing a little fundraiser! If you've ever enjoyed or benefited from my writing or communities, consider a little present. :) I've kicked things off by donating $300 each to Scholarship America and Malala Fund.

I turn 30 next week and in lieu of other plans I'm doing a little fundraiser! If you've ever enjoyed or benefited from my writing or communities, consider a little present. :)

I've kicked things off by donating $300 each to Scholarship America and Malala Fund.
Protty (@kingprotty) 's Twitter Profile Photo

I agree. Recently experiencing this a lot, having to follow through layers of "helper" functions and abstractions only to realize it could've avoided intermediary allocations or just be a few LOC once inlined.

Protty (@kingprotty) 's Twitter Profile Photo

Probably the smoothest conference I've attended so far. Was also great meeting old and new faces alike. Props to TigerBeetle again for setting it all up. #systemsdistributed

Probably the smoothest conference I've attended so far. Was also great meeting old and new faces alike. Props to TigerBeetle again for setting it all up. #systemsdistributed
Protty (@kingprotty) 's Twitter Profile Photo

Blog: You can build any blocking sync primitive using any other one. And it's not just a neat realization. It actually works kprotty.me/2025/07/31/syn…

Protty (@kingprotty) 's Twitter Profile Photo

Writing fast code under optimizing compilers feels similar to *prompting: 1) Developing an intuitive understanding of how the model combines your patterns to outputs 2) Knowing what a "good" output is, in regards to correction. * any deterministic ML inference with text input