> AI coding allows me to build tools that solve real world problems for me much faster.

But it can't actually generate working code.

I gave it a go over the Christmas holidays, using Copilot to try to write a simple program, and after four very frustrating hours I had six lines of code that didn't work.

The problem was very very simple - write a bit of code to listen for MIDI messages and convert sysex data to control changes, and it simply couldn't even get started.

I'm sure someone is about to jump in and tell you why you're doing it wrong, but I'm in a similar position to you. I spent the last few days using the AI to help me pull together evidence for our ISO audit and while it didn't do a bad job, it was rife with basic errors. Simple things like consistently formatting a markdown document would work 9/10 times with the other time having it ignore the formatting, or deciding to rewrite other bits of the document for no reason.

Yeah, unfortunately quality of tooling varies heavily. Like a range of producing garbage, to working code. Claude Code got significantly good in the last couple of months, and it’s been noticeable. I’ve been trying to plug LLMs into my workflow throughout the year, to make sure I don’t fall behind the industry. And this last month was it when it “clicked”. It works in large and small projects as long as you kinda know how to localize the tasks.

I know "try this other tool" is probably an eye-roll-worthy response, but as someone who's not a programmer but is in IT and has to write some scripts every once in a while and has a lot of AI-heavy dev friends - all I've ever heard about Copilot is that it's one of the worst.

I recently used Claude for a personal project and it was a fairly smooth process. Everyone I know who does a lot of programming with AI uses Claude mostly.