Training data from junior programmers or introductory programming teaching material. No matter how carefully one labels data, the combination of programming’s subjectivity (damaging human labeling and reinforcement’s effectiveness at filtering around this) and the sheer volume of low-experience code in the input corpus makes this condition basically inevitable.
Garbage in garbage out as they say. I will be the first to admit that Claude enables me to do certain things that I simply could not do before without investing a significant amount of time and energy.
At the same time, the amount of anti-patterns the LLM generates is higher than I am able to manage. No Claude.md and Skills.md have not fixed the issue.
Building a production grade system using Claude has been a fools errand for me. Whatever time/energy i save by not writing code - I end up paying back when I read code that I did not write and fixing anti-patterns left and right.
I rationalized by a bit - deflecting by saying this is AI's code not mine. But no - this is my code and it's bad.
> At the same time, the amount of anti-patterns the LLM generates is higher than I am able to manage. No Claude.md and Skills.md have not fixed the issue.
This is starting to drive me insane. I was working on a Rust cli that depends on docker and Opus decided to just… keep the cli going with a warning “Docker is not installed” before jumping into a pile of garbage code that looks like it was written by a lobotomized kangaroo because it tries to use an Option<Docker> everywhere instead of making sure its installed and quitting with an error if it isn’t.
What do I even write in a CLAUDE.md file? The behavior is so stupid I don’t even know how to prompt against it.
