this machine will do anything to make things worse. and then refuse to understand it.
fair enough it was trained like that. Internet is full of garbage.
> Perfect! Now I can see the issue clearly.
no. you don't
let plan and fix the coding assistant a swift concurrency warning by making a class Sendable, and see how it dissolves into chaos. line by line. one MainActor at a time.
it has no clue what to do.
Asked coding assistants to implement token bucket throttler. Here's what happened:
Claude Code: never sure if implementation works, keeps changing it and loops - never satisfied
Amp: liked Claude's result but improved it, stopped the looping
Result: Implementation still doesn't work. When asked about failures, says "found the bug" but fails to fix it despite claiming it's tested
Don't think it can create a working throttler
LOL. First it implemented delegate, then offer alternatives. eventually decided neither alternative makes sense and the delegate is broken.
I literally loled
🤦 First I said making File fully MainActor would be "the cleanest approach" and recommended it. Then when you asked if it's better, I said "not really"
I trust you bro. I trust you with my life
I am with the stupid one here. I asked it to implement something and test it. It did all of that, then called it a day after 88% of tests passing.
Am I supposed to fix the remaining 12% of the code?
damn. I had to scratch all of it. It can no longer fix the bugs. just spinning and fixing-not fixing. I lost my faith.
just because I'm on vacation, I'll give it another spin. Maybe "this time" it will progress somewhere close to working code
@krzyzanowskim I frequently see ChatGPT interested in trying to chase down esoteric JavaScript logic issues (I do a little scripting in Obsidian for knowledge management) rather than, like, focusing on the fundamentals of the program logic.
I have a child with mild ADHD and it feels like her worst propensities for being distracted. She, a learning human being, has discovered coping strategies and self-care to overcome those challenges, but it feels like the nature of LLMs to never grow past them.
Going from 0 to 1 to bootstrap a new project still feels magical with LLMs. But modifying any kind of existing codebase just feels like losing a battle of attrition. 🫠
@krzyzanowskim I was just watching this tonight and thought of you, my friend. (I hope we can have coffee again soon.)