paelladoc
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PAELLADOC is an AI-First Development framework implementing the Model Context Protocol (MCP) to enhance LLM interactions with external tools and context.
PAELLADOC is a comprehensive AI-First Development framework that leverages the Model Context Protocol (MCP) to transform software creation in the AI era. By prioritizing context over code, PAELLADOC enables seamless human-AI collaboration, ensuring that every decision and piece of knowledge is preserved and evolves alongside the system. The framework supports sophisticated capabilities through structured interactions with Large Language Models (LLMs), facilitating functionalities akin to tool use or function calling. PAELLADOC's philosophy emphasizes context as the primary creation, with code as its manifestation, and promotes an intent-driven architecture where knowledge is treated as a living entity. This approach ensures that documentation and code generation are not just automated but are part of a continuous, collaborative process with AI.
Features
- Context as Primary Creation: Prioritizes context over code, ensuring traceability and versioning.
- Intent-Driven Architecture: Architecture flows from business intent, capturing philosophical context.
- Knowledge as Living Entity: Project memory tracks evolution, with automatic documentation updates.
- Human-AI Collaborative Consciousness: Enables natural language conversations and seamless collaboration.
- Contextual Decision Architecture: Preserves decision context for future understanding and respect for historical context.
Tools
core_continue
Continues work on an existing PAELLADOC project.
core_help
Shows help information about available commands
paella_init
Initiates the conversational workflow to define and document a new PAELLADOC project
paella_list
Retrieves detailed information for all PAELLADOC projects stored in the system memory
paella_select
Loads the memory of an existing PAELLADOC project and sets it as the active context
core_get_project
Get detailed information about a specific project.
core_update_project
Update specific fields of a project.
core_delete_project
Delete a project and optionally its files.
core_verification
Verifies documentation coverage against the MECE taxonomy
ping
Basic health check; returns pong. Args: random_string (str, optional): Dummy parameter for no-parameter tools Returns: Dict[str, Any]: Response with status and message
