A powerful, open-source AI SDK with a unified interface across multiple providers. No vendor lock-in, no proprietary formats, just clean TypeScript and honest open source.
Readit Newsetoxin commented on Tanstack AI – open-source AI SDK tanstack.com/ai/latest... · Posted by u/etoxin
So, some history. When SPA's started to boom on the web JSDoc was a life saver for typing. Application state was getting more complex. We needed more guard rails.
Then Google Closure Compiler came along which added type safety via JSDOC and TS came along with (TS)JSDoc support and it's own TS syntax.
The community chose native TS and Google Closure compiler slipped away into the background.
So (TS)JSDoc support is a relic from when Microsoft was trying to get market share from Google.
Today in 2025, TS offers so much more than the (TS)JSDoc implementation. Generics, Enums, Utility types, Type Testing in Vitest, typeguards, plus other stuff.
Today I use TS. I also use plain JSDoc for documentation. e.g. @link and @see for docs. Or @deprecated when I'm flagging a method to be removed. @example for a quick look up of how to use a component.
TS and plain JSDoc are both important together. But (TS)JSDoc alone, is a relic of the past.
etoxin commented on AI isn't replacing jobs. AI spending is fastcompany.com/91435192/... · Posted by u/felineflock
I was laid off recently along with most of the tech team (Australian company ~ very well known brand). There's a handful of people left, but even they know their time is coming soon.
And this isn't about AI (well, not primarily anyway). It's offshoring, offshoring, offshoring.
IMO, what's taking place now is absolutely transformative and the world economy is in the process of being reshaped. It's not just tech jobs that are being offshored - we're just one of the first/early movers. Many other professional/white-collar jobs (accounting, etc.) are also getting offshored at an accelerating rate. And it's happening all over the western world - it's happening in the US, it's happening in Australia, Canada, the UK, etc.
And unlike previous periods of mass offshoring, I don't think the jobs are ever coming back.
I'm seeing the same thing in Australia.
These new tech companies/existing companies were not here for the first wave of offshoring engineers many years ago. basically, the product/service degraded and they brought the product/service back onshore.
It's a cycle that will repeat. Product degrades, there will be public outrage, then they will onshore the product to fix the problems caused from offshoring.
etoxin commented on Full Moon: Seestar S50 vs. Samsung S25 4rknova.com//blog/2025/09... · Posted by u/ibobev
What's the point of taking your own highly detailed photos of the moon? You can find much higher resolution images elsewhere. I usually only want to take a photo of the moon as part of a moonlit scene.
Most people take photos of DSO's, but while you've got the gear, why not photograph the moon. It's also technically fun. Using a cooled camera, I video the moon/Jupiter at 20fps at 3000x3000. Then using software, I only take the frames where there is minimal atmospheric distortion. With the remaining frames, you stack them to get a very detailed image of the moon/planets.
Look up the other gear from ZWO the maker of the seestar.
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> But, by the looks of things, models will be more efficient by then and a cheaper-to-run model will produce comparable output
So far there's negative evidence of this. Things are getting more expensive for similar outputs.
And this varies widely between models based on how they are told to reason.
I’m still trying to understand what is the biggest group of people that uses local AI (or will)? Students who don’t want to pay but somehow have the hardware? Devs who are price conscious and want free agentic coding?
Local, in my experience, can’t even pull data from an image without hallucinating (Qwen 2.5 VI in that example). Hopefully local/small models keep getting better and devices get better at running bigger ones
It feels like we do it because we can more than because it makes sense- which I am all for! I just wonder if i’m missing some kind of major use case all around me that justifies chaining together a bunch of mac studios or buying a really great graphics card. Tools like exo are cool and the idea of distributed compute is neat but what edge cases truly need it so badly that it’s worth all the effort?
Some app devs use local models on local environments with LLM APIs to get up and running fast, then when the app deploys it switches to the big online models via environment vars.
In large companies this can save quite a bit of money.
I just run two IDEs.
Cursor is essentially only the wrapper for running agents. I still do my heavy lifting in Jetbrains products.
It actually works out well because I can let Cursor iterate on a task while I review/tweak code.
Same here, everyday coding in Webstorm, Oh I have a task I can offload to copilot, I open VSCode and let a Github CoPilot Agent do that.
Knowing what tools are better for what really helps.
Arm amputee programmer here. There are some wild hardware solutions out there.
What I found best was
- a standard qwerty keyboard (I didn't want to be restricted to custom keyboards)
- A learning program called Five Finger Typist. https://www.spectronics.com.au/product/five-finger-typist-2-...
Basically I'm hybrid touch typing. Because I cover the whole keyboard as I type the chance for error increases the longer I type. I quickly glance to know where i'm aligned.
In hindsight I should have learnt to use the F and J notches more.
I have extensively remapped my IDE shortcuts to be easier to trigger.