Tagged
#quality
4 articles
use-cases
AI for code review: what it catches and misses
An AI reviewer is fast, tireless, and easy to add to a pull request. Here is what it reliably catches, where it quietly fails, and how to use it well.
#code-review#engineering#quality
06-18 15:52·7 min read
use-cases
Translation with LLMs: where it shines and fails
Language models translate fluently enough to feel solved. Here is where they genuinely shine, where they quietly fail, and why fluency hides the errors.
#translation#localization#language
05-27 13:55·7 min read
tutorials
Set up a feedback loop to improve answers
An AI feature that never learns from its mistakes stays stuck. How to capture signal, turn it into examples, and close the loop that makes answers better.
#feedback#evaluation#iteration
05-07 11:56·7 min read
tutorials
Measuring quality: how to set up a basic eval
Vibes don't scale. A small, honest evaluation turns 'this feels better' into a number you can trust — here's how to build one from scratch.
#evaluation#testing#quality
05-01 11:01·7 min read