# pun intended
1,751 karma · joined May 18, 2011
# pun intended
- it’s functional making it much easier to reason about for LLMs (eg no side effects)
- it’s compiled (including the html template), so the LLM get instant feedback if something is off and can fix it quicker
- it’s more concise than other frameworks (language, framework, no front/backend split) and consequently you hit the max token limit much less frequently
- it has excellent tailwind support
I told a business partner to just use claude for certain tasks a year ago, and it failed miserably in python where it succeeded in elixir/phoenix liveview. This was a regular occurrence. LLMs have obviously progressed since, but the principle still stands that they work much better in elixir than python.
So in short: it’s great and arguably better than most other languages and frameworks
Sure it’s not as dry, but I’ve been bitten in this regard because css framework and templates are so intransparent, preventing me from simply changing padding or margin.
CSS is too detailed and too verbose. Frameworks like bootstrap are too high level and don’t give enough control. Tailwind hits the sweet spot whilst allowing me to be detailed if I want to. It allows me to just get it done.
It matters. People will switch if you piss them off.
I’d still get a Neo and for students it’s probably the right choice - chromebooks are just a browsers after all.
But pricing wise this laptop is a decade too late. The netbook of the day (chromebooks?) are just unbelievably cheap. Apple will still sell millions of these and keep on eating up market share.
- search all your code efficiently - search all documentation for libraries - access your database and get real data samples (not just abstract data types) - allows you to select design components from your figma project and implements them for you - allows Claude to see what is rendered in the browser
It’s basically the ide for your LLM client. It really closes the loop and has made Claude and myself so much more productive. Highly recommended and cheap at $10/month
Ps: my personal opinion. I have Zero affiliation with them
Only working with 100m or so vectors, but for that it does the job.
They did not like each others standards. I know Apple engineers working on the phone who dislike the change even up to this day…
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With regards to producing code, it seems to be doing very well. The most impressive thing it did for me was a PDF OCR from scratch using google cloud. All i had to do was plug in my credentials, hook up the code and it just worked. Magic.
Highly recommended.
Simple fact is, we’re much more exposed to uv than prior generations.
That’s ridiculously high demand.
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Truetax, Enterprise AI for Gov Tax Administrators, is seeking a Head of Data Operations who will support the execution of the company's mission - to drive efficiencies of tax systems. You will work alongside the co-founders (multiple venture backed exits; Oxford/Harvard grads) to set up and manage a distributed team of para-legal writers, support teams and data analysts. We need a self-starter who is curious, self-motivated, relentless in self improvement and who can motivate all those around them. They need to be willing to get into the weeds to deeply understand GenAI system processes and train the team. They need to have a deep commitment to our mission and be ready to move fast.
If so, this would be great. Particularly to repurpose older macs.
Just get one of the tailwind UX kits and use their classes as your standard style guide. I personally use flowise as it’s free with paid more complex components if needed, but there are a bunch of others out there that fill the same space.
i've run production instances with 2PB of data being scraped per month by 100+ CPUs and 256GB of RAM using docker compose. some of the machines (smaller instances) have run flawlessly with zero reboots for years on end. both on cloud and on-prem.
i'd say its 100% production ready.
There are simple solutions to each
1) you simple have a separate docker-compose file for a different environment, ie docker-compose.dev.yml for your dev server. in this file you simply define the parts that differ from the primary / prod compose file. that way it's a simple command. line variable that initiates a dev vs prod vs any other type. for details see https://docs.docker.com/compose/how-tos/multiple-compose-fil...
2) this is literally as simple as running a small bash script that creates a backup, tars and gzips the file and then uploads it to an S3 repository. Sure, maybe not out of the box, but generally pretty simple. Likewise i'd always have a script that does the inverse (downloads the latest backup, loads it into the db and restores the files).
Not exactly rocket science...