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Curriculum

Module Overview

Module Title Hours What You'll Learn
M1 Foundations 4-6 What agents are, harness vs model, decision frameworks, trust
M2 Architecture 6-8 Tools, loops, context, memory, skills, codebase patterns
M3 Safety & Security 5-7 6-level security ladder, hooks, verifier pattern, defense-in-depth
M4 Orchestration 7-9 Multi-agent patterns, P-threads, delegation, P2P communication
M5 Production 5-7 CI/CD, shadow deploys, observability, rollback, 5-tool stack
M6 Economics 4-6 Model pricing, cascade routing, pass@k evals, cost optimization
M7 Advanced 5-7 Autoresearch, meta-agents, beyond MCP, always-on agents
M8 Capstone 8-12 Build a production-grade multi-agent system

Total: 44-62 hours, 65 lessons, 13 labs, 56 quizzes

Module 1: Foundations (4-6 hours)

Lesson Topic
1.1 What Makes an Agent? — Karpathy thesis, Software 3.0
1.2 The Harness vs The Model — 5 subsystems, 4 dimensions
1.3 The Repository IS the Spec
1.4 Decision Framework: "Should I use an agent for this?"
1.5 The Agent Loop: Think, Act, Observe, Repeat
1.6 Tool Calling Deep Dive
1.7 Vibe Coding vs Agentic Engineering
1.8 Do You Trust Your Agents? — Hotz critique, Schmidt strategic view
Lab Your First Agent (single-tool)

Module 2: Architecture (6-8 hours)

Lesson Topic
2.1 The Four Pillars: Tools, Loop, Context, Memory
2.2 Tool Design Patterns: MCP, CLI, Script, Skills
2.3 Agent Loop Variants: 5 levels
2.4 Skills System Deep Dive: path-scoped, plugins, LSP
2.5 Agent-Readable Workspace: init phase, feature lists
2.6 Context Window Management
2.7 Memory Patterns: mental models, scratch pads
2.8 The Reasoning Parameter
2.9 Codebase Architectures: 4 patterns
Labs Multi-Tool Agent + Context-Aware Agent

Module 3: Safety & Security (5-7 hours)

Lesson Topic
3.1 Prompt Injection (L0) + Why Bash Is the Problem
3.2 The 6-Level Security Ladder
3.3 The L3 Marque Break
3.4 Damage Control: 3 access levels
3.5 Hook Architecture: 13 lifecycle events
3.6 The Verifier Pattern
3.7 Defense-in-Depth Stacking
Labs Whitelist Hook + Verifier Agent

Module 4: Orchestration (7-9 hours)

Lesson Topic
4.1 Why One Agent Is Not Enough
4.2 Orchestration Patterns: Dispatcher, Pipeline, P2P
4.3 P-Threads: Parallel Agent Execution
4.4 F-Threads: Fusion, N Agents One Winner
4.5 Depth-2 Delegation
4.6 Agent Experts That Remember
4.7 Domain Locking
4.8 TillDone Task Discipline
4.9 Agent Chains
4.10 P2P Communication + MCP Agent Mail
4.11 Service Connectors
4.12 Conversation Awareness
4.13 CEO Board System
4.14 UI Agents System
Labs Agent Chain + Multi-Team Config

Module 5: Production (5-7 hours)

Lesson Topic
5.1 What Production Means for Agents
5.2 CI/CD for Agents
5.3 The 5-Tool Production Stack
5.4 The Agent Manager Role
5.5 Shadow Deployments
5.6 Rollback Strategies
5.7 Observability + Cross-Provider Search
5.8 Alerting and Monitoring
5.9 Deployment Modes
5.10 Cost Control
Labs Observability SQLite + CI/CD Pipeline

Module 6: Economics (4-6 hours)

Lesson Topic
6.0 The Compute Advantage Equation
6.1 Tokenomics: 3 Levels
6.2 LLM Pricing Landscape
6.3 Cascade Routing
6.4 Cost Per Session Math
6.5 Agent Evaluation Metrics
6.6 Automated Evaluation
6.7 A/B Testing Agents
6.8 Human Evaluation
Labs Eval Harness + Cost Optimization

Module 7: Advanced (5-7 hours)

Lesson Topic
7.1 Autoresearch: Self-Improving Agents
7.2 Integrity: Keeping the Loop Honest
7.3 Meta-Agents: Agents That Build Agents
7.4 Beyond MCP: Choosing Tool Channels
7.5 Mac Mini Agent: Physical Sandbox
7.6 Always-On Agents
Labs Autoresearch Loop + Meta-Agent

Module 8: Capstone (8-12 hours)

Build a production-grade multi-agent system. Choose from:

  • Brand Monitor — Multi-LLM brand mention tracking
  • Code Review Pipeline — Plan, Build, Review, Verify
  • Strategic Decision Board — 8-agent CEO board

Reference Documents