If the software can be switched to a rented or purchased hardware (I do not want Cloudflare's offering) then it is "self-host-able" IMO.

I think there are open source Cloudflare alternative hosting software.

Comments URL: https://news.ycombinator.com/item?id=50005608

Points: 88

# Comments: 26

Again, not a language expert, but: if you can describe your domain or business logic as clearly as a strongly typed language with a rich type system, most of your issues are gone. Enum and Struct with all the other core types plus the match expressions does most of my mental heavy lifting. I do not even track any of the recent language changes.

What I really care about is the shape of what I am describing - does it translate to code? How much do I lose in the translation? I want to try other languages, particularly Lisp but Rust is at this moment my choice. I have my own UI framework (1), my own provenance based business domain generator and a few simple language parsers.

I am building apps where you can, for example, throw a CSV file (2), ask questions in English and get answers - without using an LLM. Parser. Rust is no doubt a great language to express - not as a programmer, but as a prompter. I do not write the code. I ask LLMs to generate it using only basic knowledge of Rust and its type system. This will be the key to work with LLMs for majority of people.

1. https://github.com/brainless/akar

2. https://github.com/brainless/baho

SQLite/Turso fits my own agent/harness mental model very well but I am, as folks in the valley would say, a bit of an anti-capitalist.

I am working on my own agents that are anti-tokenmaxxers. SQLite/Turso is part of the deployed app architecture from my harness. Thanks a lot for taking the time.

Supabase is hosted Postgres with wings. Turso seemed like it would be the same but using SQLite based approach.

So either Supabase now uses the Turso sync + Postgres or something that needs Turso or abandons it. Not sure and I am not asking, just sharing my thoughts.

Love what you folks have been doing.

The core tech is open source so that is good. Will it stay? I guess Turso hosting was not making enough revenue?

Now, LLMs can.

It is nice to be in our bubble but if what you said is true, why do we only have like 3 major instruction sets? Why not 40? Programming languages are just easy to create - this is a good thing and we created too many. But it absolutely fractured the industry.

Look at the average job post. There are requirements for system design - good. Algorightms - good. Then it goes into this whole language/framework land. Remembering syntax is literally there in many companies interview. These are preferences. If we understand how a computer executes binary/assembly, the layers above are not as relevant as we have made them.

We have reinvented so many ideas many different ways in many different languages and frameworks simply because we want our flavored version.

Can anyone tell me why we have 40 or more programming languages, with about 10 popular ones? Then about 20 frameworks in each of them. And add another 200 popular libraries for each language? This matrix make no sense till you realize - it is preferences all the way down.

Most of us engineers have built our own mental model of programming. We are all right. But the users do not care. LLMs are here to produce code closer and closer to the metal as needed. They can sit and create a graph out of every spec, use an AST that they develop and run on the CPU if they have to. They will do it. No amount of us discussing will stop that.

Programming is going to be re-invented. I do not think the current ways to write software will even matter.

Have you actually fine-tuned yourself? Email categorization comes to mind and there are tons of non-LLM approaches even that will give fantastic results. How did spam filters work before LLM?

I think LLMs just made us think that is the only way. It is not.

I am building a natural language to CSV/Excel commands for a "wrangler" type desktop app. Same issues. The MVP is being built with parsers of sorts, entirely code generated. Then I want to fine-tune a tiny model at some point.

https://github.com/brainless/baho

A tiny, smaller than 1b parameter model, fine-tuned, can kick ass for constrained work. I do not have a lot of budget, I fine-tune only on a 16GB M4 Mac Mini. But that also tells me the potential is wild. Progress has been slow since I moonlight on this.

I have been trying to build a set of models + agents for full-stack development, where each model does only a small piece, like take user prompt and break into backend/frontend tasks. Then a Rust+Diesel model, a Rust+Auxum model, a Solid+Router model and so on. I know this is wild but this is just theory - can 5 or 6 Qwen 3.5 0.8b models do full-stack web development? My hunch says they can, better than what most people expect. Heck, with a good harness, it might beat all the cheaper models for the specific task, like Haiku or Luna.

Even though most of my projects have a UI, I build a CLI/API version so that the LLM can interact with it directly. I have been using this "CLI driven development" approach for more than a year now and have had fantastic results. The CLI arguments make it easy for LLM to interact with software it wrote.

I usually ask LLM to build a lib, then expose as a CLI and a RESTful API.

Comments URL: https://news.ycombinator.com/item?id=49842021

Points: 1

# Comments: 1