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dakiol
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Ask HN: So many patterns I know only in theory
1 points
by
dakiol
10d ago
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2 comments
2.
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by
dakiol
1mo ago
Over 50 npm dependencies (dev and non-dev). Is this really how things are developed in 2026? After all what's happening (cyber security), is any developer out there running this kind of software just like that in their main machines wi
3.
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by
dakiol
3mo ago
The bunch of MD files in the codebase is becoming "tech" debt. It's just English prose, sure, but thousands of lines of English prose. Terse. Succinct. Difficult (if not impossible) to maintain manually without LLMs. That
4.
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by
dakiol
3mo ago
Cancellation of the subscription. Now I am happier. Worked great!
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by
dakiol
3mo ago
"High performers". Can't believe we have normalized this vocabulary, among us, "hackers".
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by
dakiol
3mo ago
The topic here is: how to earn a billion dollars. There are less than ~5K billionaries in the entire world. Not quite like winning the lottery sure, but still unrealistic for the majority of people.
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by
dakiol
3mo ago
I'm not against inspirational examples. I'm against unrealistic inspirational examples (like PG).
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by
dakiol
3mo ago
If it's a one-off script/program that doesn't require additional "domain knowledge", sure. But what if you need to give as context your whole backend repository because you need to take into account a few business r
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by
dakiol
3mo ago
PG's net worth is between 2.5 and 10 billion... so, I wouldn't take him seriously. Normal people (like the majority ones around here) won't ever have the opportunities/skills/luck all combined at a given point in ti
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by
dakiol
3mo ago
> and should a company decide not to use AI they will have a hard time retaining devs (and they will need more devs) Need more devs? Why? If a company was being profitable just fine prio AI era, they will still be profitable if they deci
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by
dakiol
3mo ago
>The difference this time is pace: you could delay adopting “the cloud” for a couple of years and survive. With AI you might get a few months. I don't think so. Take a good company A (with a good product and a good pace of good feat
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by
dakiol
3mo ago
In theory, ofc. But that doesn't matter. If you were doing something that took 2 days in average, but you were doing it in half the time, then that was fine pre LLMs. Nowadays your manager knows that with LLMs you need to deliver faste
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by
dakiol
3mo ago
So, regarding the productivity argument: I don't get it. It doesn't really matter (for regular employees) that you can do now in 2h what before it took 2 days. Why? Because it's not that you have the rest of the day for yours
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by
dakiol
3mo ago
I'm not sure. Engineers could still develop software the old way, you know taking months to deliver something like, let's say, Obsidian? Or Ghostty? Taking care of every single line of code, of dependencies, of good architecture.
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by
dakiol
3mo ago
> It's the expertise of engineers on the team that push it back on track. But how are you so sure your colleagues are not more "expert" than you? Prior LLMs there was room for very good engineers and mediocre engineers to
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by
dakiol
3mo ago
For me the advantage is simplicity. I pick up the book and I read it. No matter where or when, I know I can read it. If the book gets damaged, I pick up another book, I don't mind. The problem with digital books is that I need 3 differ
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by
dakiol
3mo ago
Books.
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by
dakiol
3mo ago
So, the hardest thing for me would be to leave my job and focus all my time in starting my own business. Leave friends and family behind to put all my effort on it. Is it worth it? No.
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by
dakiol
4mo ago
Agree. Have worked in a codebase using Temporal, and is pretty much a nightmare. I don't know about the infra side, but from the developer side, all the abstractions they bring to the table are poorly designed. Wouldn't recommend
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by
dakiol
4mo ago
> Everyone's making so many wild predictions based off the current state of LLMs. We don't know how the market will unfold. So wouldn't it be wiser to err on the side of caution?
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by
dakiol
4mo ago
The problem with (propietary AI) is that they (anthropic/google/openai/etc) gain more from the usage of AI than you. Other tools like postgres, gcc, git, HTTP, emacs, etc. don't "gain" anything if you use them
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by
dakiol
4mo ago
The problem with (propietary AI) is that they (anthropic/google/openai/etc) gain more from the usage of AI than you. Other tools like postgres, gcc, git, HTTP, emacs, etc. don't "gain" anything if you use them
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by
dakiol
4mo ago
> It really saddens me to see some developers talk about literally quitting their careers over AI, right when the benefits of existing deep technical experience have never been more valuable. But that's not what senior executives th
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by
dakiol
4mo ago
No one is reviewing the code. Managers don't want us to review code either. It's a bottleneck. If something goes wrong (bugs) they are fixed as they come. It's a very sad era of software engineering. If there ever was some en
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by
dakiol
4mo ago
It's definitely AI slop. So tired of pushing AI-generated crap to production at my company
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by
dakiol
4mo ago
Who cares about productivity? Your CEO. Not you, not me. We all cannot be CEOs.
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by
dakiol
4mo ago
People are not idiots. AI benefits only the ones at the top of the chain, and the 10% of the rest of us. Are you in the top 10%? No, you typically are in the bottom 90%. So we don't want AI, we don't want the top getting richer at
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by
dakiol
4mo ago
Because it would be sponsored by anthropic/google/openai? You cannot do it (typically) without paying for the tokens they only can offer. Programming used to be free, but slowly, we need to pay for every single line of code. It&#x
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by
dakiol
4mo ago
There must be such a disconnection between the general people and more technical oriented people. I would never ever buy such a laptop. The reasons are very simple: - it's owned by Google. Google is the worst tech company out there to
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by
dakiol
4mo ago
True, but in my experience teams don't make the whole codebase type hinted. There's always something that escapes.
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