The real truth is that language preference (typed or dynamic) are more of a fashion choice in most companies where I was present than a pure technical consideration.

if you build your product by accumulating technical debt without any focus and effort toward simplicity and trying to make it do anything then the solution after many years is rewriting. But if you have the same culture and keep the same customers you will be in the sample place where you have started but now having different category of problems (eg network latency vs N+1s).

Maybe this is the "way of the startup" but lets not pretend that types can fix culture, engineering practices or product vision and good customer management.

If there is a "crack" there you might be able to get out of it, or it will let a disruptive idea to grow, but my way of thinking about innovator's dilemma is that is it a "culture bias": knowing about it give you some small advantage but it needs a real change to maybe have a chance to escape/act on it and the most important part is that under pressure it will quickly and imperceptible run the entire process or decision making.

Lets take this to the extreme: only 2 people remain with capital and AI all the rest are replaced.

Now these two people how do they make money? they pay each other so there is no extra value created thus the amount of money as value symbol remains constant.

But here is an even more interesting question: As their AI can create anything why would they pay each other? So why do they need money?

While all those are true they are not reflecting the level of intelligence of people: intelligent people take personal stupid decisions because while intelligence is a function of let's say the more "abstract brain", decisions are emotionally driven and influenced by the "ancient, threat focused, pleasure driven brain".

Here is a quick way to think about this: some intelligent people are obease, some others don't exercise, and others don't take their health seriously while also working on the most amazing problems we ever solved. You know what's the biggest paradox here: they all have the capacity to understand fully the impact of their lifestyle on their health but still making a life style change is hard due to not being driven by knowledge and logic.

- the scale of how much and how fast you can generate code with AI vs how fast can you write code for compiler

- the mental model of what is being generated and how much the contributor understands and owns the generated code

One one side you have big companies paying huge amounts of money to super smart people to get teens hooked on their products.

On the other side you have parents who on average dont understand how social media algorithm works or in some (too many cases) they cannot follow the logic to a second order effect.

Even here we have comments saying something like "be smarter and teach your kid to be smarter than big social media companies" not understanding that addiction cannot always be defended by improved IQ. Geniuses can have addictions too.

Its it survivor bias? I grew up in a small village/city during communism. I was basically unsupervised from morning to night since I have memories about me walking around in that village.

We were doing a lot of dangerous things while playing. And there are kids that got injured for life or lost their lives: falling from trees, drawn in a river, leg lost due to a horse injury, losing an eye during a game with some pipes, jumping from high places like 1st floor or more, ... I managed to not get hurt but the examples I gave are real.

I am not even talking about any of the fights between kids verbal or physical there were happening that todays will be labeled trauma.

So I do wonder if this free range thing that we desire is really what we want and we can accept the consequences?

I am not sure in all cases, depending of course of kids age and ability to reason, for each individual child this total liberty is the right path. I do understand the benefit for the society.

Tailwind is an abstraction on top of CSS and you can create with it whatever website you want (almost).

I understand the idea behind your comment but feels to be that it sound better than it is true :)

I was reading the pricing page for workers and here is what it says there:

> To prevent accidental runaway bills or denial-of-wallet attacks, configure the maximum amount of CPU time that can be used per invocation by defining limits in your Worker's Wrangler file, or via the Cloudflare dashboard (Workers & Pages > Select your Worker > Settings > CPU Limits).

Link: end of example 4 section: https://developers.cloudflare.com/workers/platform/pricing/

the teams that behave the closest to what the Agile manifesto seems to define as agility had three things in common, two of them were inside the team:

1. emotionally mature team members

2. competent team members that were able to deliver and knew their strenght and acknolwedge their unknowns

and the one item outside the team:

3. Trust and respect for them from the business leadership

Of course having these 3 things makes any SDLC work

Yes, it has some things that behave differently than PostgreSQL but I am curious about why you think that.

QED: oil powerful, only dollar buy oil, dollar stronger.

Those companies spending 1000+/developer are doing it with the same hope that at some point those $1000/month will replace the developer salary per month. Or because by doing so more investors will put more money into them.

Take away the promise of AI replacing developers and see how much a company is willing to pay for LLMs. It is not zero as there are very good cases for coding assisted by LLM or agentic engineering.

Because if the domain logic is getting more complex then more types will not catch the bugs unless you are willing for codify business rules within types so then you have to test the types.

Maybe someone who is working for them can confirm or add more details about it.

But on company level I see it as a risk: suddently you might have 50 new small apps created by people who might not even work at the company who are not constantly tested for security/privacy ... but more important who once done are not pushing the frontier of how a much better solution might be in that area cause nobody is putting time into them. So as time passes by this has the risk to become legacy software used to run your business. yes of course you can point an AI to all of them and prompt it to make them better but that means focus on that instead of your core business.

Maybe we will see solutions appearing to manage this kind of tech debt.

Comments URL: https://news.ycombinator.com/item?id=46886477

Points: 5

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You of course say self reliance on essential resources and I still think for most countries that could be very expensive very fast. People are complaining about the high costs specifically of the essential products when their prices are raising. Without a serious rethinking of our society we cannot probably fix that. And nobody is willing now to vote and agree to suffer for a generation to fix this system.

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