Comment by ggauravr

That is a fair distinction.

However, I don’t think using LLMs has to be an all-or-none proposition. You can still choose to build the parts you most care about yourself (where the learning happens) and delegate the other aspects to AI.

In the case of the text justifier, it was a small nuisance I wanted solved with very little effort. I didn't care about the browser APIs, just the visual outcome, so I let the LLM do it all.

If I were building something more complex, I would use LLMs much more mindfully. The value is in having the choice to delegate the chores so you can focus on the craft where it matters to you.

While we might value the process differently, the broader point remains that these tools enable people to build things they otherwise wouldn't have the time or specific resources to create, and still feel a sense of agency and ownership.