Engineering with Modern AI Systems

Welcome! We'll tackle your 20 core questions with substantive, code-level insights on agents, context, and modern AI architectures to help you build as an AI-native founder. * **Building autonomous AI agents** for engineering workflows * **Architecting context and retrieval** for precision model outputs * **Mastering model internals** to debug complex systems * **Evaluating frontier tools** to scale your product stack

5 sections ยท 20 lessons

Course outline

AI-Native Engineering

  1. Directing Agents
  2. Agent Harnesses
  3. Codebase Context
  4. Tool Selection

Building Agents

  1. Beyond Chat
  2. Tool Execution
  3. Multi-Agent Systems
  4. Practical Applications

Context Engineering

  1. Context Windows
  2. Model Memory
  3. Retrieval Architectures
  4. Second Brains

Model Internals

  1. Transformer Mechanics
  2. Training Pipelines
  3. Reasoning Models
  4. Hallucination Dynamics

AI Frontier

  1. Frontier Debates
  2. Tracking Progress
  3. Scaling Laws
  4. Beyond LLMs

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