Marketing for what? I didn't even link to what I'm building because I wanna ship it when it's ready.

(OP) You know if I link to a half-finished project, people would take it apart as many don't understand the nuance between crap and simply not done yet. But if you follow me on twitter it'll take you a few minutes to figure out. I'm two months in, even with AI, shipping good stuff takes time.

(OP) 1/3rd of the code is tests.

There's an Expo app, two Tauri apps, a cli, a chrome extension. The admin part to help debug and test features is EXTREMELY detailed and around 40k LOC alone.

To give some perspective to that number.

Yeah, I read the post. Telling me that there's a chrome extension and some apps tells me nothing. Saying that the code is 1/3 tests is...something, but it's not exceptional, by any means.

I've got an code base I've been writing from scratch with LLMs, its of equivalent LOC and testing ratio, and my experiences trusting the models couldn't be more different. They routinely emit hot garbage.

OP: If you give the llm examples like https://react.dev/learn/you-might-not-need-an-effect, it does a farily good job at refactoring useEffecs.

And yes refactoring sometimes re-introduces these, so it's not a perfect solution.

The irony here is that I did!

Having looked at the code a bit more, all I can say is that it's a lot of code to do little.

There's also a lot of naive error throwing going on.

And he seems to debug using logger stmts.

They're not scalable projects, you couldn't write enterprise software the way those projects are written. You would end up with such a volume of code.

(OP) the current projec is closed source. If you look at my cli tools, that's pure slop, all I care is that it works, so reviewing that code for sure will show some weird stuff. Does it matter? It's a tool to fetch logs form a server. I run it locally. As long as is does that reliably, idk about the code.

What does your current project do? Do you make money with it?

tbh in the time where everyone uses AI to write articles, some typos and mistakes like that are helpful to show that it's human made.

(OP) I use atlas for database migrations, it works quite well with agents and has plenty guardrails around it.

Been using that for a while, first Chinese model that works REALLY well!

Also fascinating how they solved the issue that Claude expects a 200+k token model while GLM 4.5 has 128k.

For that workflow, you might be happier with https://vibetunnel.sh.

Bind to localhost (default) and share securely via Tailscale.

I either have to trust that's all it's doing or read a bunch of code to verify it:

https://github.com/amantus-ai/vibetunnel/tree/main/VibeTunne...

And this is a solved problem. It doesn't need a new vibe aware implementation.

But thanks for downvoting and flagging my comment. That really improves public perception.