Run JavaScript on your GPU — no shaders, no setup.
await https://t.co/xwptLxRqym(data, x => Math.sqrt(x) + 1);
Arrow functions → WGSL. CPU fallback included.
https://t.co/1wfhGUDeUR
#WebGPU#JavaScript#TypeScript
NalaDB is now open source.
A temporal key-value graph database that tracks causality. Every write is versioned. Every entity has relationships. One query tells you what failed, when, and why – with a confidence score.
KV + Graph + Temporal in one engine.
<https://t.co/HXV2wvilVg>
@ghostdogpr Yes, mostly with default settings and so far without major issues (VS Code+Metals+Bloop+sbt+Scala3), except for occasional Clean&Rest. Only when I rely on HTTP proxies, Metals + VS Code has been unusable for the past 6 months.
@kyrylo@GODSGIFTAKARI What makes Scala more scalable? Most of the time your implementation dosen’t scale or your problem at all. In the end you can produce crap with any language or framework.
@rasputinho72 @scoopvright @jdegoes It depends on the real-world/business use case and the metrics you want to measure. However, I would not group Go together with Java and C# for various reasons.
fyi: cats-effect is a functional programming library for Scala that allows for easy and safe concurrency. It's a must-have tool for any serious #Scala developer!
@minamiaforgood Fast ausschließlich bei der Arbeit. Bei jedem Meeting läuft das Teil mit, damit ich nicht den Bezug zur Zeit verliere. Zudem hilft es mir den Hyperfokus zu durchbrechen. Arbeite immer in 30 Minuten Blöcken + 5 Minuten Zwangspause.
@jdegoes Go Gin: 30k-50k reqs/sec. On the other hand, adding concrete logic like authentication, input validation, and database r/w will drop the performance to 50-250reqs/sec on all these framewors. Don't choose your HTTP layer by a simple benchmark.