While I'm certainly sceptical of pure LLM (re)-written software, I would have to assume in the case of the cyberattack vector that Anthropic used their new Mythos model to adequately test against.
Maybe someone has more info of them mentioning that.
I have to say, this whole saga is extremely interesting. Not just from a popcorn-enjoyer's point of view, but as a bit of a bell weather for 2026 software dev.
Time will tell. I predict this is just the same 20 year pattern of: people on the internet are irate about $latest_thing, and everyone will move on to some other hot topic.
This is my first time hearing about Electrobun it sounds like it could be a good alternative to electron. Their site mention CEF bundling as an option has anyone tried this?
> Electrobun aims to be a complete solution-in-a-box for building, updating, and shipping ultra fast, tiny, and cross-platform desktop applications written in Typescript. Under the hood it uses bun to execute the main process and to bundle webview typescript, and has native bindings written in Objc, C++, and several core parts written in zig.
I think it makes sense to stay away from large code bases built using LLMs until it is proven that it is possible to also maintain such code bases using LLMs or using reasonable human effort.
I have an idea on how to tell if a codebase is rotting under AI Agent maintenance.
We can collect and analyze how the coding agent reads code during programming tasks, and see if the code access and token consumption are steadily increasing for similar development tasks. If the code readability doesn't degrade for the agent, the maintainability of the codebase should be fine.
It's alarming how people instantly jump to conclusions that Bun is now "AI slop".
Bun has been almost entirely worked on by LLM's for ~6 months now, long before the Rust re-write (source: https://x.com/jarredsumner/status/2054525268296118363). It already has been proven that LLM's can maintain such codebases.
Great, the author speaks out what everyone thinks but cannot say, either due to being invested in the hype or due to effectively having a gag order from their employers:
Realistically speaking, when Anthropic acquired Bun, they naturally would have needed a narrative showcasing that their AI excels even at relatively new languages like Zig. But since the Zig camp explicitly declared an anti-AI stance, it makes perfect sense why things played out this way. It's a understandable business realit
While I'm certainly sceptical of pure LLM (re)-written software, I would have to assume in the case of the cyberattack vector that Anthropic used their new Mythos model to adequately test against.
Maybe someone has more info of them mentioning that.
Jarred said this had nothing to do with Mythos or Anthropic.
I have to say, this whole saga is extremely interesting. Not just from a popcorn-enjoyer's point of view, but as a bit of a bell weather for 2026 software dev.
Time will tell. I predict this is just the same 20 year pattern of: people on the internet are irate about $latest_thing, and everyone will move on to some other hot topic.
[dead]
This is my first time hearing about Electrobun it sounds like it could be a good alternative to electron. Their site mention CEF bundling as an option has anyone tried this?
Electrobun repo: https://github.com/blackboardsh/electrobun
> Electrobun aims to be a complete solution-in-a-box for building, updating, and shipping ultra fast, tiny, and cross-platform desktop applications written in Typescript. Under the hood it uses bun to execute the main process and to bundle webview typescript, and has native bindings written in Objc, C++, and several core parts written in zig.
I think it makes sense to stay away from large code bases built using LLMs until it is proven that it is possible to also maintain such code bases using LLMs or using reasonable human effort.
I have an idea on how to tell if a codebase is rotting under AI Agent maintenance. We can collect and analyze how the coding agent reads code during programming tasks, and see if the code access and token consumption are steadily increasing for similar development tasks. If the code readability doesn't degrade for the agent, the maintainability of the codebase should be fine.
It's alarming how people instantly jump to conclusions that Bun is now "AI slop".
Bun has been almost entirely worked on by LLM's for ~6 months now, long before the Rust re-write (source: https://x.com/jarredsumner/status/2054525268296118363). It already has been proven that LLM's can maintain such codebases.
Bun never was great in terms of stability. It has been vibe coded for 6 month but code was reviewed by a person.
>It already has been proven that LLM's can maintain such codebases.
Proven is a strong word. In my experience AI fails miserably at anything beyond junior level tasks. We will see soon, once bun goes into production.
Worked on by LLMs is fine, but the rust pr proved no one is reviewing anymore. You cannot review 1M LOC in 5 days.
> It already has been proven that LLM's can maintain such codebases.
Is it? Seems like bugs in Claude Code are getting out of hands. That project has a bit more lifetime.
[dead]
[dead]
Great, the author speaks out what everyone thinks but cannot say, either due to being invested in the hype or due to effectively having a gag order from their employers:
https://xcancel.com/YoavCodes/status/2058170216408813583#m
The bun rewrite was Anthropic's Vietnam and the open source community needs to react and and build resistance.
It’s really only a matter of time until someone forks the Zig version of Bun.
What a slap in the face to all the Zig developers that spent their time, effort and probably even some money contributing to it.
Realistically speaking, when Anthropic acquired Bun, they naturally would have needed a narrative showcasing that their AI excels even at relatively new languages like Zig. But since the Zig camp explicitly declared an anti-AI stance, it makes perfect sense why things played out this way. It's a understandable business realit
Chill dog, it’s a programming language not a religion
What a weird take. Might as well give up on anything you care about, as its only an "x"