73.5% of AI-Generated Code Has These 9 Smells — Taxonomy and Detection Guide 2026
LLM code smells affect 73.5% of systems. Three arXiv papers converge on the Volume-Quality Inverse Law. Here is the full taxonomy, detection heuristics, and fix
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LLM code smells affect 73.5% of systems. Three arXiv papers converge on the Volume-Quality Inverse Law. Here is the full taxonomy, detection heuristics, and fix
Code smell: dấu hiệu cần refactor, và vì sao không có test thì đừng đụng Code smell là...
I spend a lot of time at Bito running AI code reviews, both on my own projects and with the team....

When your methods return generic types, you break the call chain TL;DR: Avoid methods that return...

Stop using switch statements. Alternatives are jut better in any way.

A chain is only as strong as its weakest link, and hallucinating dependencies will damage your...

When Conditional Logic Silences Critical Signals TL;DR: Skipping status reports in conditional...
Learn about the code smell data class and how to avoid it in your codebase. The Serious CTO...

In the world of software development, there’s a subtle yet critical aspect that often separates great...

Imagine walking into a room filled with fresh-brewed coffee and cookies baking in the oven—that's how...
Code Smell: 𝗣𝗿𝗲𝗳𝗲𝗿 𝗔𝗻𝘆() 𝗼𝘃𝗲𝗿 𝗖𝗼𝘂𝗻𝘁() ✅ El método 𝗖𝗼𝘂𝗻𝘁() se utiliza para obtener el número total de...

In software development, maintaining a clean and efficient codebase is crucial. Recognizing code smells, which are warning signs indicating potential problems in your code, is an essential skill. While they don't directly affect the functioning of the program, they can make the code harder to maintain and extend. Let's delve into the first five common code smells, understand their implications, and explore ways to resolve them, with examples for better clarity.