This project is a command-line utility designed to automate the creation of standardized instruction sets for AI-powered coding assistants. It functions as a generator that compiles technical documentation and project-specific best practices into structured, machine-readable configuration files to improve the consistency and accuracy of AI-generated code.
The tool distinguishes itself by integrating semantic web retrieval and language model synthesis to transform unstructured information into optimized rule sets. It manages the generation process through configuration-driven parameters, allowing users to define specific operational settings such as model selection and output paths.
The system supports automated development workflows by handling batch processing through parallel execution and stateful task tracking. This ensures that long-running generation tasks can recover from interruptions, maintaining reliability when converting scattered project guidelines into integrated rule files.
