Topics / #ai-engineering

AI engineering projects on GitHub

Learning resources and practices for engineering production AI systems.

As of , the most-starred AI engineering projects on GitHub are paperclip (103.3K stars), ai-engineering-from-scratch (70.5K stars) and ai-engineering-hub (38.3K stars). GitHub.Locker tracks 11 AI engineering repositories with 284.1K stars combined. The fastest-growing on October 16 was ai-engineering-from-scratch, with +512 stars in a day.

11Projects
284.1KStars in total
+990Stars in a day

Hot right now

Most stars gained in a day · Oct 16

The all-time top

11 projects · by stars

  1. #1 · paperclipai/paperclip

    paperclip

    Paperclip is an open-source Node.js server and React UI for orchestrating a whole team of AI agents to run a business — assigning goals, tracking work, and managing costs from one dashboard instead of babysitting individual agent sessions.

    103.3K
  2. #2 · rohitg00/ai-engineering-from-scratch

    ai-engineering-from-scratch

    A free, open-source AI engineering curriculum with 523 lessons across 20 phases (about 342 hours), teaching you to build AI systems from raw math up to autonomous agent swarms, in Python, TypeScript, Rust, and Julia.

    70.5K
  3. #3 · patchy631/ai-engineering-hub

    ai-engineering-hub

    A curated collection of 93+ tutorials and real-world project implementations covering LLMs, RAG systems, and AI agents, organized by difficulty level.

    38.3K
  1. 4

    system-design-academy

    29.4Ksystemdesign42/system-design-academy

    A curated collection of system design case studies, fundamentals, interview prep, and AI engineering resources, organized as a big reference list tied to a newsletter.

  2. 5

    awesome-ai-engineering

    22.4Kdipakkr/awesome-ai-engineering

    A large curated list of AI engineering resources covering LLMs, RAG, AI Agents, MCP, fine-tuning, evaluations, and production AI systems, plus broader learning resources for students (programming languages, hackathons, cybersecurity, blockchain, and more).

  3. 6

    tensorzero

    11.7Ktensorzero/tensorzero · Rust

    TensorZero is an open-source LLMOps platform that combines an LLM gateway, observability, evaluation, optimization, and experimentation tooling into one self-hosted stack.

  4. 7

    peon-ping

    5.1KPeonPing/peon-ping · Shell

    peon-ping plays Warcraft III Peon voice lines and shows bold on-screen banners whenever your AI coding agent (Claude Code, Codex, Cursor, and others) finishes a task or needs your input, so you stop babysitting the terminal and losing focus.

  5. 8

    ai-engineering-interview-questions-company-wise

    1.8Kpallavi-shekhar/ai-engineering-interview-questions-company-wise · Markdown

    A free, continuously updated cheat sheet of real interview questions asked in AI Engineering interviews at 35 companies (Anthropic, OpenAI, Google DeepMind, Meta, NVIDIA, Databricks and more), organized company by company with answers linked wherever available.

  6. 9

    ai-engineer-notebooks

    700calmrocks/ai-engineer-notebooks · Jupyter Notebook

    A collection of framework-free, hands-on Jupyter/Colab notebooks teaching the applied-LLM engineer skill set — model APIs, RAG, evals, agents, fine-tuning, security, and LLMOps — built for engineers moving into AI Engineer / Forward Deployed Engineer (FDE) roles.

  7. 10

    ai-system-design

    672amitshekhariitbhu/ai-system-design · Markdown

    A free, open-source guide that teaches AI System Design step by step: how to combine GPUs, inference servers, caches, vector databases, AI agents, guardrails, and evals into one system that is fast, cheap, reliable, and safe.

  8. 11

    AI-Engineering-Lab

    318zorost/AI-Engineering-Lab · Jupyter Notebook

    A free, self-paced 24-week AI engineering course by Zorost Intelligence AI Lab that takes a motivated beginner from Python to production-grade AI systems: ML, LLMs, RAG, fine-tuning, agents and MCP, the major clouds, and Databricks.

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