I've never been able to program in anything more complex than BASIC and command line batch files, but I'm able to get useful output from Claude.

I'm an IT Infrastructure Manager by trade, and I got there through 20 years of supporting everything from desktop to datacenter including weird use cases like controlling systems in a research lab. On top of that, I've gotten under the hood of software in the form of running game servers in my spare time.

What you need to get good programs out of AI boils down to 3 things:

1. The ability to teach an entity whose mistakes resemble those of a gifted child where it went wrong a step or ten back from where it's currently looking.
2. The ability to provide useful beta test / debug output regarding programs which aren't behaving as expected. This does include looking at an error log and having some idea what that error means.
3. Comfort using (either executing or compiling depending on the language) source code associated with the language you're doing things in. This might be as simple as "How do I run a Powershell script or verify that I meet the version and module requirements for the script in question?", or it might be as complicated as building an executable in Visual Studio. Either way whatever the pipeline is from source to execution, it must be a pipeline you're comfortable working with. If you're doing things anywhere outside the IT administration space, it's reasonable to be looking at Python as the best first path rather than Powershell. Personally, I must go where supported first party modules exist for the types of work I'm developing around. In IT Administration, that's Powershell.

I've made tools which automate and improve my entire department's approach to user data, device data, application inventory, patch management, vulnerability management, and these are changes I started making with a free product three months ago, and two months back I switched to the paid version.

Programming is sort of like conversation in an alien language. For that reason, if you can give precise instructions sometimes you really can pull something new into existence using LLM coding. It's the same reason that you could say words which have never been said in that specific order before, and have an LLM translate them to Portuguese.

I always used to talk about how everything in a computer was math, and that what interested me more than quantum computing would be a machine which starts performing the same sorts of operations on words or concepts that computers of that day ('90s and '00s when "quantum" was being slapped on everything to mean "fast" or "powerful") were doing on math. I said that the best indicator when linguistic computing arrives would be that without ever learning to program, I'd start being able to program. I was looking at "Dragon Naturally Speaking" when I had this idea. It was one of the earliest effective speech to text programs. I stopped learning to program immediately and focused exclusively on learning operations from that point forward.

I've been testing the code generation abilities of LLMs for about three years. Within the last six months I feel like I'm starting to see evidence that the associations being made internally by LLMs are complex enough to begin considering them the fulfillment of my childhood dream of a "word computer".

All the shitty stuff about environment and theft of art is all there too, which sucks, but more because our economic model sucks than because LLMs either do or do not suck. If we had a framework for meeting everybody's basic needs, this software in its current state has the potential to turn everyone with a passion for grammatical and technical precision into a concept based developer practically overnight.