The author examines how LLMs, while generating formally correct code, often introduce unnecessary abstractions, duplicates, and poor structural decisions—a phenomenon termed 'code sloppiness.' Despite industry hype around end-to-end coding agents, the author finds a lack of quantitative metrics to measure and address this growing problem, especially as codebases balloon in size.
- Source
- Lobsters
- Published
- Sep 12, 2026 at 01:08 AM
- Score
- 5.0 / 10