Do programmers even feel like programmers anymore?
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Saw a post from an 8-year dev this week. He said any junior with an agent now matches his output, and he feels no pride left in it. It got huge, because a lot of people quietly feel the same.
I read it from the other side. I'm a designer, not an engineer. For years "can you build this" meant "find someone technical and pray they stay interested." Usually they didn't. AI took the thing that hurt that dev and handed it to me.
Same shift. Loss from one seat, freedom from another.
I'm shipping a Mac app solo right now, as someone who can't write a backend from scratch. Two years ago that was a joke.
So I'm curious about the makers here. If you build for a living, does it still feel like your craft, or like something else now? Loss or relief?
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As someone who enjoys building, I still get the same satisfaction. The tools have changed, but turning an idea into something people use is what makes it rewarding.
I can understand why experienced developers feel conflicted. At the same time, it's amazing to see more designers and solo founders finally able to bring their ideas to life.
SlimSnap
@ill_robyn That's the half nobody in these threads talks about. I'm a designer, building was never my blocker, finding a builder was. Not anymore.
Product designer here. I can't speak for developers, but for me, this is something else. First time shipping my own product.
I was a junior developer years ago before transitioning to design. I can confidently say it's so much easier to build your own thing today. Ridiculously easier than the pre-AI era.
The product I'm building now, I've been thinking about it for 1.5 years. Last month I finally had the bandwidth to focus on it as a side project. I'm amazed at what's possible.
what are you building @bickov ?
SlimSnap
@jitain SlimSnap.ai A screenshot tool that hands coding agents structured data instead of a flat image, so they stop editing the wrong element.
it still baffles me what some of the chatbots return as edits
SlimSnap
@jitain The confidently wrong ones are the worst. It edits something you never asked for, says done and now you're debugging a change you didn't want.
Coming from the enterprise AI side, I've watched this play out with our own engineering team too. The syntax-level stuff got faster. What got harder, and honestly more valuable, is knowing when an agent-generated architecture will hold up under real production load vs just looking clean in a demo. That judgment doesn't come from writing more code, it comes from having shipped things that broke and understanding why. AI made the floor higher for everyone, but it also made the ceiling harder to see.
I kind of feel that the playing field has been leveled, as no one has yet mastered these tools. But also I think that the intuition about good and bad technical choices is still valuable, as only with experience you can validate the AI output. 9/10 times it is correct, but (at least currently) we still need human in the loop to catch it. Some mistakes such as not backing up or leaking sensitive prod data and are still irreversible.
Personally I feel pressure to succeed, but also feel empowered to maintain larger software systems than ever as a solo dev.
Agree with the "principles did not change, tools did" framing. For me the craft moved up a layer: less time typing syntax, more time deciding what to build, reviewing what the AI produced, and debugging the subtle things it got confidently wrong. That last part is still very much programming, arguably the hardest part. What I had to relearn is judgment, since the AI will happily take you down a plausible wrong path, so knowing when to stop and question it is the real skill now. Do you find the fundamentals easier or harder to keep sharp when the tool writes the first draft?