First, if the AI is unavailable, you at least have a backup plan. You can make changes to your website or web app even if Claude or Codex or whatever else is available. That's useful if you're using third party services.

Secondly, it lets you delve into the code and understand where things have gone wrong if the agent gets stuck in a loop or keeps making poor decisions. If you let the AI handle everything, then you're up a creek without a paddle if said AI gets stuck and can't make any progress.

Finally, it's sometimes quicker and more efficient to make a change without using AI, especially if it's a small scale one. Lots of times I've wanted to add a new form field or tweak some random CSS rule, and being able to do that myself made things a lot quicker.

People today likely cannot relate, but a big concern back then was identical: If the non-tech users can write their own code/and or code is easier to write, why even learn to be a programmer? What's the point?

It seems absurd now but legitimately it was exactly the same stuff. Like then, programmers will fall into two camps, those that keep up and those that fall behind. The thing with LLMs (and agentic) is that it doesn't change WHAT we do but rather HOW we do it.

So will programmers exist in the early 2000s after RAD? Well turns out, yes, and in expanded numbers. Businesses just expected more from technology, and the personnel gap never really closed. With LLMs the same will likely happen - same number of people, higher expectation.

The limit on how many programmers they'd hire was never "wants." They always wanted more than they could get. The limit was budgets/money. Now more "wants" can be fulfilled (just like post-RAD/web), but the budgets are more or less similar.

PS - Although it should be noted that the economy is not in a good place currently, and we're seeing an unusual employment environment. A lot of which "AI" is blamed on, least of all because companies can save face that way.