Recently, I’ve been battling a new adversary: the overly-commented AI-generated code
As a seasoned machine learning engineer, I’ve seen code reviews go from enlightening discussions to full-on literary critiques, thanks to comments.
Recently, I’ve been battling a new adversary: the overly-commented AI-generated code. Imagine this:
#!/bin/bash # shebang line
set -e # exit on error
A shell script WITH COMMENTS EVERYWHERE. Lines that haven’t changed are now “changed” simply because AI decided to write a novella of explanations.
Don’t get me wrong—clarity is good. But when your version control diff looks like:
- set -e
+ set -e # exit on error
…it feels less like engineering and more like an English lit analysis assignment!
On the bright side, this kind of “over-documentation” does have its perks. My non-coder friends can finally understand what I’m doing—although now they think most of my work is writing comments!
Anyone else dealing with this new wave of hyper-verbal automation in code generation? How do you balance clarity with conciseness?
Also, pro tip: The regex substitution to remove comments is now something I’m making a keybind for!
#MachineLearning #CodeReview #DevLife #RegexWarrior #AIAdventures #TooManyComments
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