ai-engineering

Learn it. Build it. Ship it for others.

TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, 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.

A curated collection of practical AI projects implementing OCR systems, RAG, AI agents, and other AI use cases.

Your Cheat Sheet for AI Engineering Interview – Questions and Answers.

📚 Two books on harness engineering — the design philosophies behind Claude Code & Codex: constraints, query loops, context governance, multi-agent verification. harness-books.agentway.dev

Open-source observability & evaluation platform for AI agents and coding agents. Trace LLMs, tools, prompts, costs & agent workflows with OpenTelemetry.

Your Cheat Sheet For AI Engineering Interviews at Top AI Companies - Questions and Answers.

Agent工程师最全学习路径 · 从零精通 AI 工程 · 20 阶段 503 课 · 中文全量翻译 + 配套站点 + 动画讲解视频 · 如何成为 AI Agent 工程师的修成指南

A list of AI memory projects

A curated list of best ai tools

Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set — model APIs, structured output, tool calling, RAG, evals-as-the-spine, agents (loop from scratch, tool design, guardrails, MCP, Skills), fine-tuning vs LoRA, prompt-injection/security, LLMOps, and customer craft. Runs on the free Groq API.

AI-Native 工程师招聘面试官手册 · Builder / Reviewer 双岗评分 · AI 驾驶能力实操考核 · 易哈佛医疗

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

All my YouTube tutorials. Everything here is free - but please follow me on YouTube if you find these helpful.

Give you decision-ready references for the most common AI engineering problems

AI Engineering Course - A free and complete AI Engineering Course to learn AI Engineering step by step - from Machine Learning, Neural Networks, and Transformers to LLMs, Fine-Tuning, RAG, AI Agents, LLM Inference, Evaluation, AI Safety, and AI System Design.