How do you stay familiar with the code when it's written by an LLM? (www.aha.io)

As the use of large language models (LLMs) to generate code becomes more prevalent, developers face the challenge of maintaining familiarity with their codebase. A recent discussion highlights the diminishing intuitive understanding programmers have of their code once they delegate its creation to an LLM. This decline in familiarity complicates debugging and feature integration, as developers may no longer instinctively recall past decisions or the code's architecture. The article emphasizes that while LLMs can streamline coding, this reliance risks leaving developers detached from their projects, undermining accountability for the software they build. To combat this loss of insight, the article suggests various strategies. Developers can actively engage with the generated code by making small refinements themselves, asking probing questions about implementation choices, and exploring the codebase in depth. Techniques such as generating HTML explainers for complex changes and simulating code reviews promote a deeper understanding and encourage active participation in the coding process. By fostering these habits, programmers can maintain their knowledge and steer the development of their projects more effectively, ensuring that they remain integral to the lifecycle of the software they depend on.