Knowledge Base

Repository:w3cj/how-llms-work·13 Sept 2026

How LLMs Work: An Interactive Step-by-Step Guide to Language Model Mechanics

The GitHub repository 'how-llms-work' by w3cj provides an interactive web application that explains the inner mechanics of large language models step by step. From pattern-matching chatbots to neural network backpropagation, BPE tokenisation, Word2Vec embeddings, and training a transformer from scratch, each stage includes locally runnable code.

568starsTypeScript

From Video: Building an LLM from Scratch: Neural Networks, Tokenization, and Transformers

Repository:neondatabase/neon-pkgs·9 Sept 2026

Neon Monorepo for TypeScript SDKs, CLIs, and AI Tools

Neon consolidates its official open-source JavaScript and TypeScript tooling in a single monorepo. The repository covers the Neon CLI, SDKs, Config-as-Code utilities, and integrations for AI agents and serverless functions.

55starsTypeScript

From Video: Evolution of MCP Server Design: Progressive Discovery and Workflow Tools

Article:Fred K. Schott·9 Sept 2026

Flue 2.0: Agent Framework Adopts Hooks Architecture

Flue 2.0 rebuilds the TypeScript agent framework around a React-inspired hooks API. This allows developers to build dynamic agents that can adapt models, tools, and persistent state at runtime as conversations evolve.

From X post: Flue 2: TypeScript Agent Framework Adopts React-Inspired Hooks