Category: Code Smell
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The Hidden Complexity of Long Methods in LLM Parsing: A Refactoring Perspective
Keep It Short: Taming Long Methods for Cleaner Code At Numberz.ai, we believe in building a strong relationship with our code, no matter how few lines it may be. Our guiding principles are clarity, testability, and relentless pursuit of perfection. Most code smells are simple to spot and even easier to fix, but doing so…
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Primitive Obsession in RAG Pipelines: A Refactoring Journey
Break Free from Primitive Obsession: Clean Code Starts Here At numberz.ai, we believe in crafting clean, expressive, and testable code to ensure robust pipelines, especially in complex systems like Retrieval-Augmented Generation (RAG). As we tackle code smells in various stages of development, one of the most common yet subtle offenders is Primitive Obsession. Primitive Obsession…
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The hidden cost of Change Preventers in LLM pipelines
Code that resists change is destined to fail. Numberz.ai, we believe in building a strong relationship with our code, no matter how few lines it may be. Our guiding principles are clarity, testability, and relentless pursuit of perfection. Most code smells are simple to spot and even easier to fix, but doing so requires unwavering…