Why do I lose my passion and want to do nothing?

Your brain, your values. Only you can know why you ascribe less value to things that AI readily produces, but it is fundamentally a choice you get to make.

In the beforetimes, a lot of people didn't value software, but many software developers still did.

You don't have to jump through hoops of your own making to justify the things you want to enjoy and, outside of the workplace, people won't value you as an individual based on any set of performance criteria.

Many people who enjoyed building and coding things are going through this right now, myself included.

In my case, I felt that I was pretty good at rapid product prototyping and had made that part of my identity. Then AI agents made it trivial. It took me some time to process and accept that reality. But I’m okay with it now. I simply had to move on.

After a while, I found two things that have helped:

1. Leaning into other areas where AI can boost my skills rather than just replace them, such as writing (for example, my last two posts made it to the front page of HN) and sales (leads, proposals, etc)

2. Taking on more ambitious projects. I used to think about side projects I could complete in days, and now I think more about projects I can complete in months. With AI, days have become hours and months have become days, so I simply try to think of projects that would have taken me a long time before.

I personally used to enjoy the challenge of it. I enjoyed the craftmanship. I am so glad I got to enjoy the challenge of implementing IETF specs and the debugging interop etc... it's so sad to me now that people just bruteforce all this with agents.

I wonder how carpenters felt when powertools started taking off?

Isn't that the actual endgame, what we're doing? All tasks done, all software written, everything automated, housing and food for everyone, humanity free to enjoy whatever?

So yeah, enjoy whatever makes you happy. Take a break, find a hobby, travel somewhere. Or do nothing, that also works.

First, anhedonia is a real psychological crisis. You might want to speak to a professional.

Second, the old saying "it's the journey not the destination" is apt here. If you didn't enjoy the process in the first place then even if AI never came around something would have knocked the wind out of your sails. If you love the process what do you care that AI can do it faster? You can still do the thing. Either learn to love the process or begin the journey of searching for some other thing to fill the void left behind.

I don’t get it. The premise is flawed.

AI does not create world shattering products.

You haven’t made any big hits either (with or without AI).

What’s changed?

Use AI all you want, that isn’t going to bring your passion to life. It’s no different than using an IDE or React or GitHub.

The world is still starving for novel experiences and solutions to annoying problems and clunky workflows.

AI hasn’t changed that. It hasn’t delivered anything either. For that you need the lonely mind of a man

Because I'm guessing your passion was for the craft and not just the result.

Before there were factories, if you wanted a chair you needed an artisan to make one for you. When factories pumped out chairs, there was no need for the artisan to make chairs. But building factories that made chairs was a craft in itself. If you wanted a factory to make chairs, you needed an artisan to set one up for you. A craft became redundant, but enabled another to exist.

It's natural to mourn a craft that becomes redundant. But such an event is not unique.

I do think there is something different about AI, though, in that it attacks the craft of cognition itself. At some point there's no room for a human artisan to build on top. The required faculties become too great for any human mind.

There might be a lot going on, depending on what kind of programming tasks you use AI for, but here's one hunch: I think the current AI usage pattern disrupts our core sense-making mechanism on the code we create. It jumps from nothing to a full implementation too quickly and there's no gradual learning curve (impedance match) gently pulling us along, which makes the coding process highly disorienting.

https://woventhought.substack.com/p/ai-assistants-need-adapt...

Try to increase the complexity of the work you're doing. It's not that AIs don't makes mistakes but they are able to pattern match to larger and larger pieces of the problem as more people use it and more iterations of the model are released. So your challenge is now in steering it in a way that these errors are minimised while reducing bloat.

Try to think of yourself as a professor who's trying to come up with a problem statement worth solving. The AI is your "lab" that will help you run experiments.

Choose between 1. You don't love what you're working on or 2. You don't enjoy working with AI. IMO those are the two primary problems, and both solvable in their own way (more or less).

When using AI you're not the one doing the work, thus you don't feel the same satisfaction as crafting something yourself, nor does it incite any passion.

I had the same feeling at some point, until I went back to coding by hand just to exercise my skills, and I have to say after a while it felt so much better and I was hooked on working my little side project. Using AI doesn't scratch the same itch for me.

Actual doing is usually responsible for the long-term satisfaction people derive from work.

Cut that out and you're just managing an email inbox.

It's not crazy to feel this way. When the barrier to entry drops dramatically very quickly, it's natural to re-evaluate all your priorities. I personally flip between apathy and excitement.

User expectations are also going to grow. If you're already a dev, you're already ahead if you keep up. It's always been the case that someone could release a free package that makes your personal proprietary software suddenly hard to justify.

Because you perceive a readily available result to be worth less? Why do something whose value has gone down?

Motivational saliency requires both the ability to learn and increasing difficulty - witness video games.

The model I think makes sense here is the Csikszentmihalyi Flow model, by another name the challenge-skill model of effort: https://en.wikipedia.org/wiki/Flow_(psychology)#Characterist...

Roughly speaking, you might have taken a task that was in the control, flow, or relaxation zone, closer to the center there, and lowered the difficulty so much that now it's flat out in the middle of the boredom zone.

My answer to this is to either seek out much harder problems (moving it back up into challenge, for example), or to change to a task where I have lower skill and so am in the learning mode rather than the execution mode, which I find much more pleasant and compelling than boring.

You change the goalpost, basically, or give yourself a handicap, to bootstrap yourself back up into motivating regions of the graph. Just a model, but I think it's one that is really useful.

Almost everyone is now about to feel what Lee Sedol felt a decade ago.

We are all Lee Sedol.

how are we supposed to answer that? we don't know anything about you lol. you gotta give me more info, like, results for what? when you're coding? what are you working on? is it driven by yourself or is it for your job? help me help you.

Same tbh. I lost my motivation to do any work aside from my job for a while. Now I'm working on some stuff for my friends, heavy using AI and it's just...meh. Whatever feeling of craftsmanship and skill I had is gone, now it's mostly mechanical. And if this is the case, I feel like I might as well go do something more interesting / lucrative / beneficial to society.

Why does cheating give you impostor syndrome?

You stopped creating value and started extracting it. You stopped thinking about how to best serve humanity and started thinking about how to use AI

[dead]

[dead]

[dead]