Automatic programming has seen increasing popularity due to the emergence of
tools like GitHub Copilot which rely on Large Language Models (LLMs). At the
same time, automatically generated code faces challenges during deployment due
to concerns around quality and trust. In this article, we study automated
coding in a general sense and study the concerns around code quality, security
and related issues of programmer responsibility. These are key issues for
organizations while deciding on the usage of automatically generated code. We
discuss how advances in software engineering such as program repair and
analysis can enable automatic programming. We conclude with a forward looking
view, focusing on the programming environment of the near future, where
programmers may need to switch to different roles to fully utilize the power of
automatic programming. Automated repair of automatically generated programs
from LLMs, can help produce higher assurance code from LLMs, along with
evidence of assurance

自动编程的流行增加了对代码质量、安全性、程序修复和程序员责任等相关问题的关注，这些问题是组织在决定使用自动生成代码时所关心的关键问题，本文研究了自动编程的各个方面，并讨论了软件工程的进展，如程序修复和分析可以实现自动编程，并对未来的编程环境提出了展望，认为程序员可能需要转变角色以充分利用自动编程的力量。通过从大型语言模型自动生成的程序进行自动修复，可以生成更可靠的代码，并提供可靠性证据。