TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluation, and experimentation.

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale

An AI-powered data science team of agents to help you perform common data science tasks 10X faster.

Warcraft III Peon voice notifications (+ more!) for Claude Code, Codex, IDEs, and any AI agent. Stop babysitting your terminal. Employ a Peon today.

The professional development environment for Claude Code. Tests enforced, context preserved, quality automated.

A list of AI memory projects

A curated list of best ai tools

A curated collection of resources for 🌌 Azure OpenAI, 🦙 LLMs (RAG, Agents).

Progressive UI from LLM

Learn to build from scratch an AI PR reviewer integrated with GitHub, Slack and Asana that scales within your organization.

Datasets for Predictive Maintenance

Your AI mate into your favourite terminal

Essential reads for every AI engineer interested in building AI apps.

A toolkit that makes Claude Code better at engineering — session memory, dependency analysis, large file navigation, 18 specialist agents, and crew teams for parallel multi-branch work.

Curated List of AI, ML and Deep Learning books

GRACE (Graph-RAG Anchored Code Engineering): open Agent Skills for contract-driven AI code generation with semantic markup, knowledge graphs, and support for Claude Code, Codex CLI, and Kilo Code.

Agentic Engineering Guide

A Go library for building performant, type-safe AI agents that execute structured reasoning workflows.

Explore a curated collection of exceptional open-source libraries for generative AI meticulously reviewed or slated for review by The AI Engineer. Contribute your own projects to be considered for evaluation and inclusion in this dynamic repository dedicated to advancing the AI engineering discipline.

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

Ultimate AI research and engineering course

Real-world AI engineering dataset creation, SFT fine-tuning, and GRPO alignment ETL pipeline.

ML Sys + Hardware/Software co-design, Awesome List of AI Engineering topics and learning resources. Learn basics to advanced topics to become an AI engineer at top research labs like OpenAI and DeepSeek

AI Intent Driven Development (IDD) guidelines and instructions for AI Coding Agents, AI Coding Assistants, and LLMs.

Hybrid AI is the future of explainable intelligence. This article explores how combining vector search, knowledge graphs, and retrieval-augmented generation (RAG) creates AI systems that can reason, cite, and explain their answers with insights learned from building a real Graph-Powered RAG Engine.

🧾 | Use these AI prompts to refine your searches, improve accuracy, and get detailed, context-driven responses that precisely match your queries.

Claude Plus is an advanced AI-powered development assistant that combines the capabilities of Anthropic's Claude AI with a suite of development tools.

Human-first AI Design Engineer with 7 specialized personas.

A list of resources for AI engineers