Show HN: I built a CLI that turns your codebase into clean LLM input (github.com)

A new command-line interface (CLI) tool called LLMCat has been launched, designed to streamline the process of converting code into easily digestible input for large language models (LLMs). By automating the tedious tasks of formatting and cleaning code, LLMCat enhances productivity for developers working with AI tools. It features automatic formatting, code cleanup to remove unnecessary comments and whitespace, and supports both single files and entire directories. Moreover, the tool allows for customizable output tailored to individual workflows and lets users save configurations for repeated use. The significance of LLMCat lies in its potential to simplify interactions between developers and AI systems, ultimately fostering innovation in machine learning applications. By transforming messy code into clean, structured text, it reduces the friction often encountered during the integration of AI into coding practices. This could lead to more efficient usage of LLMs, allowing developers to focus on building products rather than getting bogged down by initial setup tasks. With easy installation options and comprehensive configuration capabilities, LLMCat positions itself as a valuable asset in the AI/ML community, encouraging the exploration of AI-driven programming solutions.