The research applies AI-driven code assistants to analyze a selection of
influential computer code that has shaped modern technology, including email,
internet browsing, robotics, and malicious software. The original contribution
of this study was to examine half of the most significant code advances in the
last 50 years and, in some cases, to provide notable improvements in clarity or
performance. The AI-driven code assistant could provide insights into
obfuscated code or software lacking explanatory commentary in all cases
examined. We generated additional sample problems based on bug corrections and
code optimizations requiring much deeper reasoning than a traditional Google
search might provide. Future work focuses on adding automated documentation and
code commentary and translating select large code bases into more modern
versions with multiple new application programming interfaces (APIs) and
chained multi-tasks. The AI-driven code assistant offers a valuable tool for
software engineering, particularly in its ability to provide human-level
expertise and assist in refactoring legacy code or simplifying the explanation
or functionality of high-value repositories.

本研究应用基于 AI 的代码助手对影响现代技术的一些重要代码进行分析，提出使用该助手工具可以对混淆代码或缺乏说明注释的软件提供见解，并专注于添加自动文档和代码注释，并将某些选定的大型代码库转换为带有多个新的 API 和多任务链接的现代版本，从而在遗留代码重构和高价值代码库功能简化方面提供了具有人类级别专业知识的有价值工具。