ai-engineering

The open-source app everyone uses to manage agents at work

Learn AI Engineering! Learn it. Build it. Ship it for others.

🚀 A curated collection of AI engineering resources, roadmaps, tools, and projects covering LLMs, RAG, AI Agents, MCP, fine-tuning, evaluations, and production AI systems.

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

A Comprehensive Guide for Generative AI, Agentic AI, Multimodal AI, Physical AI Interviews. Proven Formula for multiple FAANG offers and more

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.

Harness engineering in two books: constraints, query loops, context governance and multi-agent verification in Claude Code and Codex. harness-books.agentway.dev

Same agent Smaller bill. The tools and infrastructure to get more work from your AI. Fewer tokens. Less compute. Lower cost.

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

Guides and resources for AI engineers: an agents course, five handbooks, a hands-on second-brain project and a vetted reading list.

Agent工程师最全学习路径 · 从零精通 AI 工程 · 20 阶段 542 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

Open-source High-Level System Design, DSA, and AI Engineering handbooks. CC BY-SA 4.0, Free Forever.

A list of AI memory projects

AI System Design - Learn how to design AI systems built on LLMs, RAG, and AI Agents step by step.

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.