Prpack – Pack a pull request into one Markdown file for LLM code review (github.com)

A new tool called **prpack** has been launched to streamline the process of conducting code reviews using large language models (LLMs). This CLI utility generates a structured Markdown file from a pull request (PR), encapsulating the commit list, file diffs, and complete contents of affected files. Developers can effortlessly obtain this file, ready it for input into models like Claude or Cursor, and request a thorough review without losing critical context or needing to manage multiple files. By packaging together relevant code and changes, prpack eliminates the common pitfalls of context loss and excessive data overhead when querying LLMs. The significance of prpack lies in its efficiency—by providing LLMs with just the necessary information, it enhances the quality of code review feedback while minimizing token usage. Key features include options to include or exclude tests, manage file sizes, and customize configurations via YAML. This is particularly beneficial for software teams looking to leverage AI capabilities for code evaluation while keeping the workflow seamless. As AI continues to be integrated into development practices, tools like prpack pave the way for more intelligent, context-aware code assessments, optimizing both developer productivity and software quality.