The document describes a Python tool designed for orchestrating AI-powered code maintenance workflows using the Claude Code SDK. This tool, which requires Python 3.11 or higher, provides functionalities for automating and streamlining software maintenance tasks. Users can install it from PyPI or source and utilize two primary execution modes: Sequential Execution, where tasks are executed in order, and Conditional Workflows, allowing for task “jumping” based on success or failure outcomes.
The tool supports session resumption to maintain context across tasks, enabling complex workflows. It can analyze projects, automatically generating tailored configurations based on detected languages and tools. Users can define various tasks with specific parameters like verification commands, success conditions, and error handling. Additionally, the prompter provides options for logging and debugging, making it essential for scalable AI-driven project maintenance and code improvements. The document also includes examples and best practices for employing the tool effectively.
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