The open-source app everyone uses to manage agents at work
Learn AI Engineering! Learn it. Build it. Ship it for others.
AI Roadmap 2026: a beginner's path through Foundations, LLM Engineering, Agents, Evaluation, and Production, with verified free resources and a mini-project per layer
Your Cheat Sheet for AI Engineering Interview – Questions and Answers.
A Comprehensive Guide for Generative AI, Agentic AI, Multimodal AI, Physical AI Interviews. Proven Formula for multiple FAANG offers and more
Your Cheat Sheet For AI Engineering Interviews at Top AI Companies - Questions and Answers.
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
🚀 A curated collection of AI engineering resources, roadmaps, tools, and projects covering LLMs, RAG, AI Agents, MCP, fine-tuning, evaluations, and production AI systems.
A curated collection of practical AI projects implementing OCR systems, RAG, AI agents, and other AI use cases.
Scope | Agentic Experience evaluation platform (Research preview)
Research into AI engineering interview assignments, take-home challenges, and hiring practices from 2026
Open-source High-Level System Design, DSA, and AI Engineering handbooks. CC BY-SA 4.0, Free Forever.
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
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.
OpenLIT is the open-source agent harness engineering platform: trace, evaluate, guard, and improve everything around the model in your AI agents, on OTEL.
The AI-Engineering Foundation Framework for business apps: open-source TypeScript, with multi-tenancy, RBAC, events and domain modules already decided as conventions and specs, so Cursor, Claude Code and Codex build features instead of re-deciding architecture. Start with 80% done.
better agentic engineering
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
Best Data Science, Data Analytics, AI, and SDE roadmaps. This repository is continually updated based on the top job postings on LinkedIn and Indeed in the data science and AI domain.
A curated list of best ai tools
AI System Design - Learn how to design AI systems built on LLMs, RAG, and AI Agents step by step.
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.
A curated list of 120+ LLM libraries category wise.
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
Warcraft III Peon voice notifications (+ more!) for Claude Code, Codex, IDEs, and any AI agent. Stop babysitting your terminal. Employ a Peon today.
A group of notebooks and other files which can help you learn AI from scratch.
A curated collection of resources, tools, practices, case studies, and opportunities for Forward Deployed Engineers.
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.
AI Engineer Roadmap - A step-by-step AI Engineering roadmap to become an AI Engineer, with a blog for every topic.
Namaste AI — Free handwritten notes and study material covering AI concepts from the Namaste AI course. Explore the history of AI, neural networks, deep learning, transformers, LLMs, prompt engineering, RAG, AI agents, and more. An open-source learning resource by Chetan Nada.
FDE 中文成长手册:24 周 Forward Deployed Engineer 教程,贯通商业决策、一线问题发现、RAG/MCP 工程交付与运营交接。
Distributed 56M-parameter LLM inference across 3 ESP32-S3 boards via ESP-NOW , Split-PLE + KV cache, fully offline.
Production AI Systems, Agentic AI & Distributed Infrastructure
A zero-to-100 learning path for applied AI engineering — RAG, embeddings, vector search, agents, MCP, and the production engineering around them. 56 pages, built as a searchable site.
Dissenyador visual de workflows i graphs d’IA agentiva · Diseñador visual de workflows y graphs de IA agéntica · Visual designer for agentic AI workflows and graphs
Operational tooling & discipline for multi-agent AI engineering fleets — mutation-proven guards, a Textual terminal monitor, generalized skills, and specs. Every check ships with proof it can fail.
Daily learning log for AI Engineer. Updated as I go.
考研 408 公开资料库(全口径 22408/11408/自命题):择校数据、三源考情核对、录取分数统计、408 交互学习工具;欢迎 AI agent 与考生按 README「数据征集」节规范投稿院校数据
100+ AI, Gen AI, LLM, Agentic AI, Forward Deployed Engineer (FDE), AI Systems Architect, Applied AI, LLMOps, AI Platform engineering interview questions across 10 topics - short answer, detail, worked example, and interview tips for each.
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Free Course : Data, Machine Learning, Deep Learning and AI Engineering, the long way round: the math, the code, the systems and the security. 173 lessons, 166 runnable labs, no shortcuts. Free under CC BY-NC 4.0.