Interesting post. Machines like this show how much engineering sits behind everyday products. The timing between wire feed, coiling, and stitching looks very precise.

I’m curious about long-term upkeep. Anyone know how these machines handle jams or wear parts over time?

Nice to see more manufacturing content on HN.

This is a good reminder that a lot of security risk comes from the tools around a product, not just the product itself. Even well-run systems can be exposed if a vendor integration has broader access than expected.

The practical takeaway is to keep reviewing what data each service actually receives and to keep permissions tight. Most companies use analytics tools, so incidents like this are a push to double-check how much they really need to see.

Lines like this spread fast because people react to the phrasing instead of the full context. It usually helps to focus on the actual argument, not the headline version that circulates. Once you look at the reasoning itself, the discussion becomes clearer and avoids the usual internet noise.

> Good to see this being discussed. The tech still reflects the biases in its training data, and that’s a real issue for creative work. What would help is more concrete examples of failure cases and what actually works to reduce them in practice.

What bias in the training data do you have in mind? Think about the top labs - what biases do you imagine them having in a big enough way that in meaningfully tilts the models in a bad way?

And then bringing it to the user; do you want everyone to think the same way by flattening the range of thought that is permissible and that the AI system would engage with? That seems awfully oppressive.

Impressive pace, especially with TDD in the mix. Curious how you are handling the non-custodial flow on the backend, including signing, replay protection and chain support. Also interested in how much of the 57k lines came from AI versus your own refactoring. Nice work getting this live so quickly.

i didn't touch the code at all really. i think i modified 1 or 2 lines in a few files.

Usually if something is broken i tell claude to fix it.

There is a bunch of docs in the github repo ./docs folder.

but basically every transaction gets an HD address/wallet we control to handle the .5% commission split and forwards the remainder to the merchant's deposit address.

when you vibe code you no longer write code but you do become the architect, product owner and manual QA tester. :)

Tried Orion recently and was surprised at how fast it feels on macOS. The focus on low resource usage is a nice change. Interested in how they plan to sustain development long-term.

The post brings up a good question. A lot of software is being rebuilt around AI, not because the old tools stopped working but because expectations have changed. AI seems to reshape the smaller pieces first, such as search, support, and internal tools, and those gains add up over time.

I am not sure this means AI will replace everything. It may just become another standard layer in the stack. Curious how others see this trend developing.

Nice work. Roaring bitmaps fit a sweet spot for fast set operations with good compression, so seeing them brought into PostgreSQL is genuinely interesting. The fact that it plugs into native types instead of reinventing the wheel is a big plus.

I would love to see real-world benchmarks. In theory this should outperform intarray and some GIN setups for certain cardinalities, but actual production numbers often look different.

If anyone has tried this with large tables or event-tracking workloads, your results would be great to learn from.

This captures it well. Trust today comes from steady behaviour and clear priorities, not big speeches. Simple but true.

Tried RLCDev today and the concept is promising. The UI is clean, it runs quickly, and it is helpful that it generates a full project structure instead of isolated snippets.

I would like to see clearer visibility into how the code changes between prompts and a few real examples of complete apps built with it. The idea has potential and it seems useful for reducing repetitive setup work. Curious to see how it develops.