Show HN: Badge that shows how well your codebase fits in an LLM's context window (github.com)

A new tool has been introduced that visually indicates how well a codebase aligns with a large language model's (LLM) context window, offering developers a badge that assesses code compatibility. This innovation is significant for the AI and machine learning community as it addresses one of the prominent challenges faced when integrating various codebases with LLMs: ensuring that the code fits within the model's context limits for optimal functionality and performance. The badge functions by analyzing the structure and complexity of the code, determining how much of it can be effectively processed by the LLM at one time. This capability enables developers to streamline their code to improve prompt responsiveness and reduce potential errors that arise from exceeding context limits. As LLMs continue to play a critical role in software development and debugging processes, this tool serves as a valuable resource, facilitating better collaboration between human programmers and AI systems while also paving the way for more scalable coding practices.