Ahhh, the problem with incentives; maybe it's more the case that, had the Linux Foundation behaved in a more aligned with the pure open-source ethos way, Linux would not be so widely used and working so well? They problem of incentives in open-source is real - who, why and how should support your development? Especially for things like OSes, which require constant work.

I don't know whether we have figured out the best models here just yet; the results are mixed

Exactly this; for some tasks, it can speed up you dramatically, 5 - 10 x; with others, it actually makes you slower.

And yes, very often writing a prompt + verifying results and possible modifying them and/or following-up takes longer than just writing code from scratch, manually ;)

"The counter-scenario: as AI handles the routine 80%, humans focus on the hardest 20%. Architecture, tricky integrations, creative design, edge cases: the problems machines alone can’t solve. Rather than making deep knowledge obsolete, AI’s ubiquity makes human expertise more important than ever. This is the “high-leverage engineer” who uses AI as a force multiplier but must deeply understand the system to wield it effectively"

I would argue that:

- you cannot develop these skills without doing lots of development with minimal to no AI assistance

- this skills will atrophy, once you use AI too much and too often

I personally err on the side of using AI/LLMS rather too little than too much, to retain and further develop my core skills - time will tell which cohort made the right decision :)

Weird - it should be completely up to the developers, whether they write code by hand or partially/mostly with LLMs.

If the code meets set standards and the author understands it all - why does it matter whether it was written by a human or machine?

I don’t think it does but if the person leading the (relatively small ~10 person) engineering team is dismissive and not championing it then it ends up in this weird place where people are unsure if they can/should use it.

I have similar experiences with Claude Code ;) Have you used it as well? How does it compare?

No less impressive than the SQLite project itself; especially 100% branch coverage! That's really hard to pull off and especially to maintain as the development continues.

Good points; I wonder have they measure whether charities that get this money are effective though - it is a really hard problem; not only to help for the help sake, but to help effectively, achieving the intended end results

I also like and use lazy loading a lot :) But I guess the general question worth asking is: who drives the need for new features and functionalities in the browsers?

Whoever wants to write the underlying engines for virtually every browser: Apple and Google. They both have their agendas that they try to push via them.

Classic, but very timely Uncle Bob's take on the Shiny New Object syndrome and the constant need for The Next Big Thing.

Yes! One could argue that we might end up with programmers (experts) going through a training of creating software manually first, before becoming operators of AI, and then also spending regularly some of their working time (10 - 20%?) on keeping these skills sharp - by working on purely education projects, in the old school way; but it begs the question:

Does it then really speeds us up and generally makes things better?

This is a pedantic point no longer worth fighting for but "begs the question" means something is a circular argument, and not "this raises the question"

https://en.wikipedia.org/wiki/Begging_the_question

No it doesn’t. The meaning of that phrase has changed. Almost nobody uses the original meaning anymore. Update your dictionary.