After accidentally removing code that improved a machine learning model, the author reflects on the unexpected benefit of using a long-context LLM, which helped recover the original script. This experience highlights the potential of LLMs as a tool for code recovery, suggesting they can serve as a backup alternative to traditional version control systems like Git.