Wild how many people were predicting the AI slop, but was dismissing it as unlikely beyond some trolls.

I think the issue for our community is we will just create a LLM wrapper app in a few minutes to solve what we need making OpenClaw have 0 utility.

Is t the point of an MVP to be an MVP?

The OP put together a POC and shared it, showing novel concepts used together. They are not some large R&D lab.

The purist tests being asked for is in contradiction to the ShowHN guidelines.

Thanks, we are not large R&D lab, limited resources. We were working on a product with is a Local VLM first BYOD when you want Video Security application, our users requested to have a MLX backend benchmark comparison, we tried hard to not deliver with Python in the application bundle, so we searched for a pure binary based MLX implementation the results shown we need to build one. It took us two weeks to get it working and we had been testing with multiple models. As a reference, you can see the result here: https://www.sharpai.org/benchmark/

Then we saw the announcement from Google about TurboQuant, it's so cool, so we started to integrate them (along with SSD/Flash streaming). It's a non-trivial process and thanks for your support and understanding. When we saw the mobile application alive with QWEN 3 1.7B model, we thought it worth.

If we get anything similar with well maintains, we will definitely adopt it since our target is the production delivery, if this one gets good support from the community, we will continue to support.

I think all the posts here gave us a reason to continue.

> The OP put together a POC and shared it, showing novel concepts used together.

That's the contention: There are countless POCs for these concepts already, and some of them were used as the basis for this project.

It's not really a novel POC, it's the result of putting the previous work into Claude Code and telling it to rewrite it in Swift, then putting your name on it. To be fair, the person did start adding the reference projects to the very end of the README

But if you didn't what to look for, you'd assume this was a very novel project attributable to their own work

This post wasn't marked as a Show HN.

Tried, but wrong time to post, it got zero attention . :)

At least they are giving you the option to opt out, many other providers just trained on the source code.

I think the issue is people AI assisted code, test then commit.

Traditional software dev would be build, test, refactor, commit.

Even the Clean Coder recommends starting with messy code then tidying it up.

We just need to apply traditional methods to AI assisted coding.

At that point you lose all potential gains from just using AI - it's harder and slower to read and understand a bunch of verbose slop and then clean it up

Laravel is extremely stable and consistent.

The difference between JS frameworks and RoR/Laravel is the ecosystem cohesion. RoR and Laravel ecosystems employ the RoR or Laravel way of doing things and everything works together very smoothly.

JS solutions are loosely coupled, lots of good reasons to do so, but comes at a major complexity cost.

I agree. Opinionated frameworks are better in this regard.

Ruby on Rails and Laravel all the way. Solid, proven, stable and scalable.

While I understand the sentiment, it ignores many people have English as a second language, many people are dyslexic and have dysgraphia. AI is a great assistant. A good approach will be to encourage people to develop their thinking than use the AI tools.

Using AI to craft a thoughtful, concise comment is different than synco-slop.