The LLMs come in as an enabler to get over "white page" paralysis, and/or overwhelming amounts of libraries to learn to use.
Earlier today, I was chatting with the folks in my computer club, discussing how I wrote a little program just to explore the nature of small neural networks. Then I decided to show them how I use Visual Studio Code with ChatGPT5 (from my GitHub subscription)
The next thing you know, I had a bare bones computerized bulletin board system accessible via telnet, up and running in Python, just as an example of what's possible.
Next was a small database to scan and catalog all the videos on a disk drive, with an SQLite backend. I added a web interface to it in a few minutes, thanks to the LLM.
All of this while I'm a barely passable Python programmer... my preferred language is Delph/Free Pascal.
Things that were previously overwhelming are now almost trivial. Sure, it's effectively instant legacy code... but I can live with less than 1000 lines of legacy code for myself, and nobody else. I might even study it, and learn some things. ;-)
Earlier today, I was chatting with the folks in my computer club, discussing how I wrote a little program just to explore the nature of small neural networks. Then I decided to show them how I use Visual Studio Code with ChatGPT5 (from my GitHub subscription)
The next thing you know, I had a bare bones computerized bulletin board system accessible via telnet, up and running in Python, just as an example of what's possible.
Next was a small database to scan and catalog all the videos on a disk drive, with an SQLite backend. I added a web interface to it in a few minutes, thanks to the LLM.
All of this while I'm a barely passable Python programmer... my preferred language is Delph/Free Pascal.
Things that were previously overwhelming are now almost trivial. Sure, it's effectively instant legacy code... but I can live with less than 1000 lines of legacy code for myself, and nobody else. I might even study it, and learn some things. ;-)