You don’t need to read the code to understand how to build!

The most accurate and comprehensive Context Engine as a service, optimized for large codebases, powered by advanced GraphRAG and accessible via MCP. It enriches the context for AI agents like Codex, Claude Code, Cursor, etc., making them 35% more efficient and up to 84% faster.

Structural RAG (Retrieval-Augmented Generation) system for large codebases

A set of tools to use while coding using the Claude code cli. "smartgrep" is a grep-like tool that uses a semantic index of the codebase to provide Claudes with information tailored for how they think. Claudes love it! A "codebase-curator" Claude to assist the "developer" Claude in his coding tasks, together they implement fully integrated code.

By using SSD, we only need to take one single shot to detect multiple objects within the image, while regional proposal network (RPN) based approaches such as R-CNN series that need two shots, one for generating region proposals, one for detecting the object of each proposal. Thus, SSD is much faster compared with two-shot RPN-based approaches.

This repository explores creational, structural, and behavioral design patterns, along with core design principles. By implementing these in Python, I aim to strengthen my coding skills and understand how real-world systems are built with clean, scalable codebases.

A tool for building predictable and reliable TypeScript programs.

SNARL is a distributed dungeon crawler game. It is ASCII-based and played on the command line with 1-4 players.