Demystifying Generated Code for Readability

This chapter delves into making LLM-generated code less ambiguous, and more accessible and comprehensible. We’ll explore techniques to enhance the explainability of code from LLMs, ensuring the logic and decision-making behind LLM-generated code are clear. By aiding a better understanding of code from LLMs, the chapter aims to promote transparency and trust in software development.

This chapter has bad and good code and prompt examples.

This chapter will help you gain insights into strategies for improving the readability of code from LLMs, nurturing a collaborative and informed approach to leveraging these powerful language models in coding practices.

From this chapter, you should learn how to use LLMs/chatbots to generate more readable code and summarize lengthy code blocks for understanding by humans using LLMs to create documentation and comments to aid readability.

This chapter covers the following topics:

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