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ai-engineering

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A comprehensive toolkit for deploying production-ready Generative AI infrastructure on Amazon EKS. Includes pre-configured components for: 🚀 AI Gateway (LiteLLM) 🤖 LLM Serving (vLLM, SGLang, Ollama) 📊 Vector Databases, 🔍 Embedding Models (TEI) 📈 Observability (Langfuse, Phoenix) etc. Fast-track your GenAI deployment with Kubernetes

  • Updated Jul 27, 2026
  • JavaScript

A best-practices template for AI-assisted development at scale. It turns your repository into institutional infrastructure where AI agents can work sustainably — converging around documentation as a stable attractor across sessions, long cycles, and multi-role collaboration

  • Updated Jul 30, 2026
  • JavaScript

Core engine behind Calibrate, a framework for evaluating AI agents: speech-to-text, text-to-speech, LLM evaluation, end-to-end simulations

  • Updated Jul 29, 2026
  • JavaScript

🩺 RAG Doctor — Open-source diagnostic tool for Retrieval-Augmented Generation (RAG) systems. Analyzes codebases to detect architectural issues in LLM pipelines such as missing retrieval, bad chunking, embedding mismatches, and vector database misuse.

  • Updated Mar 13, 2026
  • JavaScript

Context engineering decides what a model sees. 14 self-contained examples that build the mental model one piece at a time, Node.js + local GGUF. Understand deeply, then use frameworks wisely. Hands-on context engineering - all local.

  • Updated Jul 29, 2026
  • JavaScript

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