qudat
Namely it is wayland only, cpu rendered, and doesn't have any window decorations
pics or it didn't happen
It just so happens that it works really well with agentic development as well. I can remote into any shell environment through zmx and tell an agent to execute commands in that environment. `zmx run` executes and waits for the command to complete and also returns the exit code. For humans and agents this is a seamless experience, as if you are running the commands directly.
https://bower.sh/zmx-ai-portal
Apologies for the self-promo.
All of our comms for https://pico.sh are on irc and we have tons of users join and leave immediately because the room feels cold / dead even tho we were chatting 10 mins prior.
Further, pi is now owned by a company which as we all know, tend to explode code with features while chasing product market fit.
For linting style errors I’m using entr in a separate terminal which is also awesome.
What is a BAR let alone a resizable one? Readme just jumps in, which is fine, but I’m not sure why this is on HN or why I should care.
LLMs can act as classifiers but they still have to generate text output in the form of a JSON object. This means they have to generate every single curly bracket, quote, command, etc. This turns out to be pretty expensive. On the other hand, Jev uses a different decision head so it doesn't generate text output at all, it outputs logits *only* for the choices provided. So it completely avoids the need to generate text at all, which means no malformed JSON and it's much faster as a result.
Finally, Jev also provides confidence scores that are actually reliable (not made up like LLMs).
Ctags is a symbol indexing system so I run it once for a project and can do symbol searches in my editor or using fzf.
I have ctags index the languages stdlib as well which is really handy for quick symbol searching -> open my editor to read more
Honestly, my LSP requirements are minimal: go to def, find all references, and symbol search. I’ve been wanting to try ctags for awhile and finally made the switch.
Another consideration were all the posts about how grep is better than LSPs for LLMs.
It really pushed me to just get better at grep. There have been a ton of benefits: I can symbol search outside of my editor, it’s much faster than an LSP, minimal configuration. It feels more like a universal tool I can use instead of a tool for IDEs.
The C interop is a huge win as someone who wants to do more posix/wayland projects.
What’s not intuitive to me is that through pattern matching it’s able to express logic and reasoning.
“Demand is also being intensified by major investments in infrastructure, manufacturing, reshoring, and AI. Data center growth alone has added a net 315,000 skilled-trade workers over the past five years, according to the report, putting additional pressure on an already tight labor market.”
https://www.morningstar.com/news/pr-newswire/20260825cg32433...
We literally do not have enough trades people to build out data centers and their salaries are increasing as a result. These are skilled labor jobs (plumbers, electricians, IT, etc.). Does Bill Gates care about the rest of the economy outside of SWE?
[0]: https://digitaleconomy.stanford.edu/app/uploads/2025/11/Cana...
I think of LLMs as a labor-liberating tool. It's saving me effort so I don't have to drudge through enterprise codebases and memorize company-specific knowledge that is a dead end for my career. Instead I can run an agent while doing chores.
The beauty of the entire LLM stack is that it requires us. It is useless without a human-in-the-loop. The entire stack is designed around human intervention. We will not magically invent a way to remove the human without first removing it from training.
So rest assured, so long as there are humans in the training loop, there's nothing to worry about, because LLMs are a cybernetic enhancement, not a replacement.
This was written in zig and built by vercel. That’s the only notable characteristics about this project.
All code agents look the same and this one is no different.
My general strat with LLMs is to let them do the work and constantly talk to them about their choices and then heavy QA
I just assumed every model manufacturer is distilling from the frontier models. If they aren't they are definitely trying to do it.
I do like Kagi but the Gemini deal was too good to pass up as it also gives my a code agent.
I'm going to spend more time contributing without so much self-promotion.
Thanks for the feedback.
Idk, I already don’t bother with Opus and stick with sonnet med. I really care more about speed. I use qwen3.6 27b for personal projects and I think it works pretty great.
So like the article mentions, if scaling stalls and small models get better it’s not impossible to imagine a convergence and hardware costs drop.
Having said that, self hosting will be a niche thing like it is today for other services.