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🏗️ The Missing Semester of Engineering

From First Principles to AI Agents: A Collaborative Reference for the Modern Engineer.

This repository is a living map for navigating the transition from writing code to engineering intelligent systems. It bridges the gap between fundamental engineering mindsets and the cutting-edge implementation of Generative AI.

🧩 Future Features

  • Prompt-engineering
  • Agent building
  • A RAG-based chatbot assistant with which you can communicate and retrieve information from the repository.

🗺️ The Roadmap

  • The-Foundation/: Engineering First Principles, Systems Thinking, Constraints and Trade-offs.
  • The-Craft/: LLM Architecture, RAG in Production and AI Agents.
  • The-Interview-Room/ : Interview deep-dives (RAG, Agents, System Design).

🤝 How to Contribute (The Community Manual)

We believe that "Engineering" is a shared discipline. Whether you come from a background in robotics, web dev, or data science, your perspective on trade-offs and systems makes this guide stronger.

🌟 Ways to Contribute

  1. Add a Case Study: Did you face a specific trade-off in a project? Add it to the Trade-offs & Constraints section.

  2. Refine a Concept: Help us explain complex topics (like AI Agents) so a 5-year-old—or a Senior Stakeholder—can understand them.

  3. Interview Intel: Have you encountered a tough question about RAG or LLMs in production? Add the question and a high-signal answer to the Interview-Prep folder.

  4. Fix & Polish: Found a typo or a broken link? Every bit helps.

🛠️ Step-by-Step

  • Fork the repository.

  • Create a branch for your feature (git checkout -b feature/new-case-study).

  • Submit a Pull Request with a brief description of what you’ve added and why it helps other engineers.

  • Note: We prioritize "First Principles" thinking. When adding content, try to explain the Why behind the How.

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From first principles to production-ready AI systems— how engineers actually build, reason, and ship GenAI systems.

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