Two months ago I would have written the same thing.

I have 50 years experience programming. I have adapted to change over time to stay employable. And I have cultivated programming as a craft, taking pride in my experience and expertise and knowing how to write working code "by hand."

Then a couple of months ago my employer adopted AI, and I saw almost immediately that I couldn't keep up with it. I could mock it, criticize, point out the silly mistakes it makes, but I found it hard to argue with the results. The programmers using AI (Claude Code in our case) got their work done faster, and I couldn't honestly say their work looked any worse than it had before AI -- in fact I noticed more unit tests, fewer regressions, and abilities enhanced even from the more junior programmers. I had to get on the bus or get off, so I learned how to use AI and have seen my own productivity increase at least 3x.

I think we need to distinguish between programming as a craft -- the thing the author says he enjoys and won't give up -- and programming as labor someone else pays for. Anyone who has worked in the software development business for very long understands that our employers and customers don't care about our craft. They don't care about readabiity, maintainability, technical debt, best practices. They care about getting things done that address the business problems they have, or think they have.

For a long time we -- programmers or whatever euphemism you prefer -- have held the upper hand. Our bosses and customers had no alternative but to pay us to write code for them. They have had to put up with shockingly unpredictable processes that lead to chronic schedule and budget overruns. They have paid for low-quality software, then paid us to do it over. Only a fraction of software projects succeed (go into production and/or result in profit or cost savings), and an even smaller fraction get delivered on time and within budget. I don't mean to imply that we have done that on purpose, but programmers do like to pat themselves on the back and talk about best practices and clean code and every other method and tool "stack" we present as silver bullets, but have little to show for it, for decades.

Now AI comes along and the curtain gets pulled back, and we're indignant, threatened, defensive. A mere bot can't possibly write code as good as I can! The AI companies reek of fraud, corruption, environmental destruction.

No matter what happens to the current crop of AI companies, or how much money gets wasted or grifted, or how much pollution they cause, the LLMs and the coding tools they enable won't go away. They work, regardless of their owners and the damage they cause. Programming will look like this from now on whether we like it or not.

We can retreat into our craft, like the guy with hand tools carving tables in his garage. But I know I can't feed myself or my family with my software craftsmanship, because no one will pay for that anymore. Faced with this reality I had to decide to either leave the business (I am at retirement age anyway) or adapt and continue to get paid. We will all have to make that choice.

In my so-far limited but overall good experience with AI programming I think knowing how to program, and having a lot of experience, gives me a significant advantage over a non-technical manager or a newb programmer. I know how to tell the tool what I want it to do in clear unambiguous terms, and I know how to decide among alternative approaches, and how to judge the result. I won't call myself a "prompt engineer" anytime soon but that describes what I do now. The author can wait for this all to blow over and for programming to go back to hand-crafted code, but I don't think that will happen.