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413 points martinald | 1 comments | | HN request time: 0.327s | source
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tangotaylor ◴[] No.46204312[source]
> Engineers need to really lean in to the change in my opinion.

I tried leaning in. I really tried. I'm not a web developer or game developer (more robotics, embedded systems). I tried vibe coding web apps and games. They were pretty boring. I got frustrated that I couldn't change little things. I remember getting frustrated that my game character kept getting stuck on imaginary walls and kept asking Cursor to fix it and it just made more and more of a mess. I remember making a simple front-end + backend with a database app to analyze thousands of pull request comments and it got massively slow and I didn't know why. Cursor wasn't very helpful in fixing it. I felt dumber after the whole process.

The next time I made a web app I just taught myself Flask and some basic JS and I found myself moving way more quickly. Not in the initial development, but later on when I had to tweak things.

The AI helped me a ton with looking things up: documentation, error messages, etc. It's essentially a supercharged Google search and Stack Overflow replacement, but I did not find it useful letting it take the wheel.

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r_lee ◴[] No.46204550[source]
These posts like the one OP made is why I'm losing my mind.

Like, is there truly an agentic way to go 10x or is there some catch? At this point while I'm not thrilled about the idea of just "vibe coding" all the time, I'm fine with facing reality.

But I keep having the same experience as you, or rather leaning more on that supercharged Google/SO replacement

or just a "can you quickly make this boring func here that does xyz" "also add this" or for bash scripts etc.

And that's only when I've done most of the plumbing myself.

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hattmall ◴[] No.46214479[source]
>Like, is there truly an agentic way to go 10x

Yes, absolutely.

>or is there some catch?

Yes, absolutely.

The catch is that to go 10x you have to either do a lot of work of the variety that AI excels at, mainly boilerplate and logical but tedious modifications. There's a lot of code I can write, but I will probably need to check the syntax and implementations for 10 or more functions / methods, but I know what they are and how I want the code to flow. AI never really nails it, but it gets close enough that I can fix it with considerable time savings. The major requirement here is that I, for the most part, already knew almost exactly what I wanted to do. This is the really fancy auto-complete that is actually a pretty reasonable assistant.

The other way is that you have to start from a position of 0.1x (or less) and go to !~1x.

There are a tremendous amount of people employed in tech roles, but outside of actual tech companies that have very very low throughput.

I've recently worked in a very large non-tech firm but one that is part of a major duopoly and is for the most part a household name worldwide. They employ 1000s of software developers whose primary function is to have a vague idea of who they should email about any question or change. The ratio of emails to lines of code is probably 25:1.

The idea that you could simply ask an AI to modify code, and it might do it correctly, in only a day is completely mind blowing to people whose primary development experience is from within one of these organizations.

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1. godelski ◴[] No.46214613[source]
Okay, I got two questions and I never seem to get satisfactory answers but I'm actually curious.

1) What kind of code are you writing that's mostly boilerplate?

2) Why are you writing code that's mostly boilerplate and not code that generalizes boilerplate? (read: I'm lazy. If I'm typing the same things a lot I'm writing a script instead)

I'd think maybe the difference is in what we program but I see say similar things to you that program the types of things I program so idk