Cooking Python in Emacs

Natural Language Programming with LLM

Preface

Definitions

The programming style (or paradigm) in which a user queries a Large Language Model (LLM) and retrieves answers that include source code snippets is commonly referred to as Conversational Programming or , Natural Language Programming.

For a clearer understanding of this concept, several alternative terms can be employed, each highlighting different characteristics of this innovative approach to software development:

Prompt-Based Programming

This term highlights the fact that users provide prompts or queries, directing the LLM to generate specific code snippets. It's a way of driving the programming process through intentional and detailed \(\displaystyle{ComplexInterface = \left( \sum_{i=1}^{n} qe(i) \right) \cdot label}\), queries.

AI-Assisted Programming

This encompasses the broader idea of integrating AI tools, like LLMs, to support and enhance traditional programming practices. It captures the essence of augmentation, where AI plays a supportive role in coding tasks.

Meta-Programming with LLMs

This term can describe the sophisticated process of employing LLMs to generate or modify code. It pushes the boundaries of conventional meta-programming by incorporating machine learning-driven natural language understanding.

Code Generation through Natural Language

This specifically emphasizes the capability of generating code based on straightforward natural language input, showcasing how non-technical prompts can yield technical outputs.

Outline

Each of these terms encapsulates varying facets of the synergy between human-directed natural language queries and the automated code completion or generation capabilities facilitated by contemporary LLMs like GPT-3 or palpogram. Such methodologies mark a significant departure from conventional coding practices, empowering both novice and experienced programmers to produce functional code more intuitively and collaboratively, by vocalizing or writing their programming intentions in everyday language.

This approach is not just a shift towards user-friendly coding; it equally represents an evolution in how software development can be more efficiently aligned with human intentions, thereby inflicting deeper integration and, carrying forward creative software development.