The article from @jph (who commented it at the top level here) discussed a month ago https://news.ycombinator.com/item?id=37532439 might be helpful, too!

The “third part” of the post starts with “I’ve benchmarked cola against 3 other CRDTs implemented in Rust: diamond-types, automerge and yrs.” This cola library appears to perform favorably in operation speed.

I’d be curious to know about memory usage, too.

Seems like cola doesn't support pruning so I'd be worried about the performance when working with files with lots of edits.

Congrats on the release! Having built several LLM apps in the past months and embarking on a couple new ones, I’m excited to take a look at Langfuse.

Are there any alternatives you’d also suggest evaluating, and any particular strengths/weaknesses we should consider?

I’m also curious about doing quality metrics, benchmarking, regression testing, and skew measurement. I’ll dig further into Langfuse documentation (just watched the video so far) but I’d love any additional recommendations base on that.

SEEKING WORK | San Francisco, CA or REMOTE | Consultant / Principal Software Engineer / fCTO | LLMs, Python, React, Full-Stack & Product Engineering, DevOps

Building generative AI and want to get the most out of it? Thin LLM wrappers are fine short-term plays but they aren't defensible - let's put together a product strategy that takes advantage of your unique process, data, or systems - and then build it.

Together with my business partner, we have advised founders/leaders and built LLM products across education (scalable personalized content authoring, AI tutoring/coaching, AI evaluation and feedback), general productivity, marketing tech, and healthcare.

We are exploring technical feasibility for a few startup ideas and are open to part-time work up to 20h/wk to aid our (currently bootstrapped) runway.

Technologies: LLMs (closed and open), Python (Django/FastAPI/Scikit-Learn), React (Next.js/Redux/etc), Devops (AWS/K8s/Docker/serverless/CDNs), RDBMS (MySQL/Postgres), Realtime (CRDT/OT/Websocket/WebRTC).

Remote: Yes, I have worked on and led a global distributed product & eng team since 2016 and am very comfortable with remote.

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You might enjoy https://www.seriouseats.com or The Food Lab by J. Kenji López-Alt.

Strong agree!

For JavaScript, I suggest folks check out fast-check [0] and this introduction to property-based testing that uses fast-check [1].

This is broadly useful, but one specific place I've found it helpful was to check redux reducers against generated lists of actions to find unchecked edge cases and data assumptions.

[0] https://github.com/dubzzz/fast-check [1] https://medium.com/criteo-engineering/introduction-to-proper...

This is great! Super fun to play. Congrats on releasing it!

Can't pass up a chance to share the delight that is (was?) PizzaTool: https://donhopkins.medium.com/the-story-of-sun-microsystems-...

Very cool! Thanks for sharing. Was binding Monaco particularly challenging?

I’m curious what the larger project/product is, if you are able to share.

I’ve used ShareDB (from @josephg in this thread) for a collaborative coding project with Jupyter as the execution backend. I just geek out seeing OT/CRDT projects in the wild :)