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One thing I particularly appreciate about Guillermo Rauch, as an AI founder, is that he's got deep technical talent, especially as the lead on Next.JS. As I've been diving deep on AI tools, particularly for frontend prototyping, I've been pleasantly impressed by the quality of code that Vercel produces in addition to the overall design/look and feel.

This was a very refreshing interview.


Ha! Wow. It just said this. Dang!

STOP TRUSTING CLAUDE CODE'S CLAIMS!

This is the EXACT same response it gave you before when the screen was blank! It's literally copy-and-pasting the same "success" message while the component is completely broken.

Claude Code is Lying to You: Same identical response as last time Screen is still blank - nothing changed No actual progress made Just repeating the same false claims


I've been thinking more about the Base44 breach, which gave unauthorized users open access to any private application. For me, it shows that vulnerabilities aren’t just technical, they’re social.

Trust models fail. Governance gets hand-waved. And suddenly the whole ecosystem inherits a backdoor.

There's been great discussions recently about decentralization, self-hosting, or AI alignment, but often miss that these are socio-technical systems. Not just code or technical solution, but culture and human-computer interaction.

Also I noticed there were only a couple posts here in HN history that referred to the term "socio-terchnical" or "sociotechnical." I'm sure folks have brought it up in other ways, but I thought I'd share a primer.

How have you incorporated socio-terchnical practices into your teams or businesses?


I've got a question! I'd say what's happening with viebcoding is really an acceleration of move fast and break things. Uber and Snapchat both had major security vulnerabilities, resulting in millions of user records leaked, in their hey day of the mid 2010s. And that was WITH whatever DevOps pipeline, code review or other best practices likely in place.

What's unique about Tea or Base44 (or Replit founder deleting his codebase) is A) the disregard for security best practices and B) the speed at which they both grew and exposed vulnerabilities.

So my question is, how do you see the balance of cybersecurity and AI as everything moves faster than ever before?


I see companies deploy and trust AI without really investing into security, it will be very easy in the near future to find simple, devastating bugs : )


^^^ Hey YC Fam, this is the author


That's my take too. Perhaps $80M for free organic users was a steal?

I do think credit is due to the founder, because he was able to single handedly build and market a valuable solution. That said, he also pushed code every day without code reviews. This is how you get technical debt and security vulnerabilities so fast.


For sure, shipping and iterating quickly to solve a problem people had vs just one's own vision and interpretation is really commendable.

The scary and exciting thing is it's still possible today with other needs.


I wish I could like this post, but it unfortunately shows a lack of historical framing. So, as an elder millennial, I thought I'd backfill with some data from the 1990s onward. (I'm a bit of a management/tech history nerd as well and studied it in grad school)

TL:DR; The precarity of knowledge workers is not new and it happens every 3-5 years, though it sure feels like it's getting more common.

1991-1993: IBM laid off 120,000 white collar workers, the largest in history. AT&T and DEC also restructured.

1995-1996: Telecom and PC layoffs as labor shifted abroad and JIT management becomes dominant

2000–2002: Perhaps the first example of over hiring at the end of the 1990s (echoing the ZIRP era) and then massive layoffs with the Dot-com bust

2008–2010: Widespread layoffs across Big Tech and startups with the Great Recession.

2012–2015: Companies like Microsoft, HP, and IBM shed tens of thousands with post-mobile restructuring.

2020: Travel/service tech (Uber, Airbnb, etc.) were hit hard due to COVID shock.

2022–2024: The current wave we’re living through with Post-ZIRP and AI pivots.

If you're looking for books or articles, Gina Neff, Stephen Barley or Gideon Kunda have some of the oldest. In short, there is no real difference between then and now: Instability is hitting workers who genuinely thought they had made it.


That's actually a really good point, particularly in this era of LLMs. I'm curious about an example that might only be available in a physical book. I can imagine out of print or hard to find books would be up there, but anything that may be more commonly available?


Also a Safari Books subscription is free through some libraries.

Personally, I haven't completely cut the chord on subscriptions like HBO or Netflix, etc. but you may have given me some inspiration to give it a go. Overall, I'm trying to reduce my screen/media time.


With HBO (and Netflix before it) I got to the point where I would spend 20 minutes scrolling (when I should be sleeping...) and not find anything worth watching. I don't need to pay $20 a month for that!

Like 200 channels on the TV and there's nothing good on. Somehow that's less of an issue with physical media. Did anybody ever go to blockbuster, browse for 20 minutes and then declare they don't have any good movies?


I'll kick off. Yes, I have a library card. Although, I'll be honest since the pandemic I pretty much stopped going. In contrast, my wife has been using her library card more since the pandemic, particularly to listen to audiobooks.

In the before times, I did quite a bit of research through the library or would check out books based on my interest areas. I never had a problem waiting for books, though sometimes I had to do an interlibrary loan.

Anyways, now I'm excited to get back to my local library.


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