what's the use case ?

So the service is fine .. no downtime, no surprise bills, support works, and the tech is mostly fine. The whole issue is that DigitalOcean sponsored an open-source project led by someone whose politics you don’t like. dig deep enough and you’ll find views you disagree with behind almost every tool, company, repo/dependency you might be using out there. Once that’s the bar, where do you actually draw the line?

And hope it works?

I’m pretty sure many people who use AI to write emails or blog posts add "make it sound like a human wrote it" to their prompts. We all know what the result usually looks like.

If AI is writing my code, I'd rather have it focus purely on correctness and efficiency than on making the code easy to read.

heck! I might even ask it to imitate Arthur Whitney’s style.

/s

The Authors avatar looked familiar, crunchydata ?

Snowflake acquired Crunchy Data yes and Craig was at Crunchy Data.

Interesting, I was wondering why Snowflake was investing in PostgreSQL. Looks like Snowflake bought Crunchy Data and Databricks bought NEON… so the two leading DWaaS companies have managed PostgreSQL offerings now.

& ClickHouse has managed Postgres in open beta (which I work on)

Why did databricks and snowflake buy Postgres vendors?

is any one here using the neo for any coding work ? how is it ?

Not real work. It's an amazing couch laptop, though. I do have a full CLI tooling pipeline setup, though. I mostly read, research, and write on it. Chrome tabs galore open, Obsidian, etc...

It's pretty amazing at the price point. Thought last year the M4 Airs were on sale for $749 -- I'm doubtful we'll see that price again on those....

If all you need is a coding laptop, any $200 dollar laptop with upgradable ssd and ram with linux installed does just fine.

I do, and I love mine. I program relatively low-resource software, so power is not an issue.

Yes. Do the heavy lifting in Claude code , Codex.

Basic tasks in cursor. It's decent and damn fast.

All my team members also use it.

I’m working on "Fetch", a native macOS client for ClickHouse.

The idea is to make querying ClickHouse feel more like using a polished desktop with ClickHouse native features :

It’s built in Swift/SwiftUI with Monaco as the SQL editor.

Screenshot: https://ibb.co/gbW4rW7G

lol, what does it mean ?

how is autocomplete implemented ?

autocomplete isn't "exact", so it does have in its suggestions things that don't exactly always make sense, but it does list things by what is contextually relevant. It has a basic understanding of sql syntax such it will suggest potential keywords next, it introspects things like tablenames so they are available in spots where a tablename would be relevant, and if it has tables it will introspect them to get fieldname, and any named things like x as y will also become suggestions within the context of the query you are working on. This results in mostly correct suggestions. However it generally always has the suggestion you want, it works really well with field names / table names, which mainly what I wanted, and very basic with sql syntax (which I normally don't need any help with other than relevant keyword completion)

sounds like a daft punk song !