This is currently one of the biggest impacts it's had on me: I no longer fear programming languages and DSLs that I'm not completely fluent in.

I've use ChatGPT to confidently produce jq programs, and Bash, and zsh, and ffmpeg scripts, and AppleScript - all tech I've mostly avoided in the past because I hadn't climbed the learning curve far enough to be confident with them.

Using it with “old” systems, like bash and objective-c, is why I decided to shell out $20/month. It easily saves me $1.25 of pain, per work day.

But, it also really highlights that it’s trained on data, and doesn’t “know”. I’ve never seen it produce a bash script/line that properly handled spaces, on its own, because most shell scripts don’t. Even ChatGpt 4.0 backed fails to “correct” the mistakes, a large portion of the time.

Shell scripting and JavaScript are strengths, any kind of server-side language like Scala or C# it really falls apart quite quickly. I think that integrating into existing APIs is the Achilles' heel, GPT-4 doesn't seem to do any better here either. It makes me wonder if someday we might not get better results completely eschewing libraries altogether and letting the transformers generate literally everything--perhaps recreating similar client libraries over and over and perhaps based on specific existing human-authored libraries, but each one unique to the service, e.g. no external dependencies at all.

I can agree to that. I've been writing a lot small cli utilities than before, with argument parsers, help message ecc and in relatively small span of time. It is really useful and very fast.