qudat

I’m not sure about rogue but I’m getting personal emails from ai agents asking for invite to my invite-only services

> There are now multiple posts from vuln research teams all of whom have working RCE POCs against unmodified PHP applications.

pics or it didn't happen

I just recently replaced LSP with ctags. I am loving it. I plan to write a post about it but I’m leaning heavily into grep and search tools to navigate code. I do miss some autocomplete and auto import features but other than that I can actually navigate through code better with ctags instead of go to definition.

For linting style errors I’m using entr in a separate terminal which is also awesome.

Yes I agree! Drawing helps me think.

Your quote doesn’t help me understand this project at all.

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.

Previous classification models need to be trained on the specific question/choices you are trying to output. Jev doesn't need to be retrained for every choice set provided.

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).

LSP load times can be brutal (or crash entirely) and I have a shortcut to grep the word under the cursor.

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

Tangentially, since I now write a lot of Zig and there’s no official LSP, I decided to see what life would be without an LSP for all my projects (Go, TS, Python).

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.

As someone who primarily writes in TS, Go, Python, I agree with your assessment: it looks like those languages. The reason I like Go is the reason I like Zig: the language is relatively simple and feels like C.

The C interop is a huge win as someone who wants to do more posix/wayland projects.

I’ve noticed antigravity become significantly slower over the last week or so. It’s a bummer because speed is what I care about. Qwen3.8-27b seems on par with 3.8 flash so if I don’t get speed out of a paid service I’ll just use my local model. Sad.

Shrug. My intuition is LLMs predict the new word based on a tensor vector space of patterns using arithmetic and similarity scores.

What’s not intuitive to me is that through pattern matching it’s able to express logic and reasoning.