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

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

A free, self-paced 24-week AI engineering course: Python, machine learning, LLMs, RAG, fine-tuning, agents and MCP, Azure and Vertex and Bedrock, and Databricks. 43 runnable notebooks, one continuous case study. MIT licensed, no signup. By Zorost Intelligence AI Lab.

Progressive UI from LLM

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