An MCP server that enables users to store and retrieve personalized coding patterns, serving as a persistent memory layer for LLM agents. It allows AI models to generate code and refactor projects according to a user's specific styles, technologies, and established development conventions.
An MCP server that enables AI agents to dynamically create and reuse executable skills (Python functions) from natural language descriptions, with automatic skill crystallization and real-time MCP spec updates.
Frontend Design Loop MCP enables coding agents to improve web page designs through screenshot-grounded iteration and proof artifacts, making pages materially better.
A disciplined engineering harness for AI coding agents that provides ground-truth MCP tools and adversarial enforcement skills to transform generic LLMs into high-precision engineers.
A methodology and MCP server for agent-driven software development where humans write specs and agents implement code, enforced by six mechanical gates to ensure spec validity, contracts, tests, and review.
