architecture-handbook

Video Library (AI Generated)

A curated collection of video resources organised by topic. All videos are referenced throughout the learning path.

---

Foundations

Agentic AI Evolution

Stanford Webinar - Agentic AI: A Progression of Language Model Usage (90 min)

• Speaker: Stanford AI Lab
• Topics: Prompt engineering, RAG, ReAct patterns, agentic design patterns
• Key Sections:
  • 0:00 - Effective prompting strategies
  • 20:00 - RAG architecture and implementation
  • 40:00 - Agentic workflows (planning, reflexion, tool use, multi-agent)
• Best for: Comprehensive overview of LM evolution
• Referenced in:
  • Agentic AI Evolution
  • Prompt Engineering
  • RAG Architecture
  • Agentic Workflows

---

AI Safety & Control

The Hard Problem of Controlling Powerful AI Systems - Computerphile (30 min)

• Speaker: Computerphile
• Topics: Adversarial AI, scheming detection, trusted monitoring, capacity gap
• Key Concepts:
  • Utility trap (users grant too much autonomy)
  • Adversarial shift (AI as the adversary)
  • Mitigation strategies (defer to resample, resample incrimination)
• Best for: Understanding security implications of agentic systems
• Referenced in:
  • AI Safety & Control

---

MLOps Principles

Principles of Good Machine Learning Systems Design - Chip Huyen, Stanford MLSys Seminar (90 min)

• Speaker: Chip Huyen (ML infrastructure expert)
• Topics: ML system design, research vs. production infrastructure, the 10/90 rule
• Key Principles:
  • ML is 10% ML, 90% engineering
  • Start simple (simple models → optimised simple → complex)
  • Production infrastructure ≠ research infrastructure
• Best for: Architects evaluating ML platform investments
• Referenced in:
  • MLOps Principles

---

Development Workflows

Vibe Engineering

From Vibe Coding To Vibe Engineering – Kitze, Sizzy (60 min)

• Speaker: Kitze (Sizzy founder, developer productivity expert)
• Topics: Vibe engineering, Cursor Composer, voice-to-code, context management
• Key Sections:
  • 10:00 - Vibe coding vs. vibe engineering
  • 25:00 - Tools and workflows (Cursor Composer)
  • 35:00 - Context is king (rules files, memories)
  • 45:00 - The “PITA developer” and resistance to AI
  • 55:00 - Future implications (legacy AI code market)
• Best for: Understanding how AI changes developer workflows
• Referenced in:
  • Vibe Engineering
  • Context Management

---

Spec-Driven Development (Context Compression)

Shipping Code You Don’t Understand - Netflix Engineer at AI Engineer Summit (20 min)

• Speaker: Netflix Engineer (AI adoption lead)
• Topics: The knowledge gap, simple vs. easy, context compression, three-phase approach
• Key Sections:
  • 0:00 - The confession: shipping code without understanding
  • 5:00 - Simple vs. Easy (Rich Hickey’s definition)
  • 8:00 - Essential vs. Accidental Complexity (Fred Brooks)
  • 10:00 - The conversational complexity trap
  • 12:00 - Three-phase approach: Research → Planning → Implementation
  • 16:00 - Real example: Netflix OAuth migration
  • 18:00 - Pattern recognition atrophy
• Best for: Understanding how to maintain comprehension at AI generation speed
• Referenced in:
  • Spec-Driven Development
  • Vibe Engineering
  • Architectural Drift Prevention

---

Agent Skills Framework

Don’t Build Agents, Build Skills Instead – Barry Zhang & Mahesh Murag, Anthropic (45 min)

• Speakers: Barry Zhang & Mahesh Murag (Anthropic team)
• Topics: Anthropic Skills framework, progressive disclosure, MCP stack
• Key Concepts:
  • Skills vs. high-quality prompts (procedural vs. declarative)
  • Skills vs. .cursorrules (capabilities vs. conventions)
  • The folder paradigm (SKILL.md + scripts/)
  • MCP + Skills + Runtime stack
• Best for: Understanding how to build reusable AI expertise
• Referenced in:
  • Agent Skills Framework
  • ADR Automation
  • Security Automation
  • Integration Contracts

---

By Topic Area

Prompt Engineering

• ✅ Stanford Webinar - Agentic AI (0:00 - 30:00)
  • Clear instructions, few-shot examples, CoT reasoning

RAG Architecture

• ✅ Stanford Webinar - Agentic AI (20:00 - 50:00)
  • Chunking, embedding, vector databases, retrieval strategies

Security & Safety

• ✅ Computerphile - Controlling AI Systems
  • Trusted monitoring, capacity gap, adversarial AI

ML System Design

• ✅ Chip Huyen - ML Systems Design
  • Research vs. production, the 10/90 rule, principles of good ML systems

Modern Development Workflows

• ✅ Kitze - Vibe Engineering
  • Context management, voice-to-code, Cursor workflows

Architecture Governance

• ✅ Anthropic - Agent Skills
  • Building governance skills (ADR, security, contracts)

---

By Duration

Short (< 45 min)

• Computerphile - Controlling AI Systems (30 min)
• Anthropic - Agent Skills (45 min)

Medium (45-90 min)

• Kitze - Vibe Engineering (60 min)
• Stanford - Agentic AI (90 min)
• Chip Huyen - ML Systems (90 min)

Long (> 90 min)

• None in current collection

Recommended viewing order:

1. Stanford - Agentic AI (foundations)
2. Kitze - Vibe Engineering (practical workflows)
3. Anthropic - Agent Skills (governance automation)
4. Chip Huyen - ML Systems (if ML-focused)
5. Computerphile - Controlling AI (safety considerations)

---

Supplementary Resources

Deep Dive Learning Paths

• Made With ML - Comprehensive hands-on MLOps course
  • Model training, evaluation, deployment
  • Production monitoring and debugging
  • Free, project-based learning

Documentation & Guides

• Anthropic’s Claude Agent Guide - Building agents with Claude API
• OpenAI Cookbook - RAG Examples - Code examples for RAG
• Pinecone - What is RAG? - Practical RAG implementation guide

Tools & Standards

• Thoughtworks Tech Radar - Example of technology governance at scale
• Michael Nygard ADR Templates - Standard ADR formats
• OWASP Top 10 - Common security vulnerabilities
• STRIDE Threat Modeling - Microsoft’s threat modeling framework

---

Community & Updates

Staying Current

As noted in the Vibe Engineering video, AI model capabilities change rapidly. Stay updated via:

• Twitter/X: Follow AI researchers, tool builders, early adopters
• Discord/Slack: Join communities for specific tools (Cursor, Claude Code, etc.)
• Reddit: r/LocalLLaMA, r/MachineLearning, r/ClaudeAI
• YouTube: Subscribe to channels covering AI developments

Key Accounts to Follow (as of 2026)

• Andrej Karpathy (coined “vibe coding”)
• Anthropic (Claude updates)
• OpenAI (GPT updates)
• Chip Huyen (MLOps insights)
• Tool-specific accounts (Cursor, Replit, etc.)

---

How to Use This Library

For Teams New to AI

Start with: Stanford Webinar (foundations) → Kitze Vibe Engineering (practical)

For Experienced Developers

Start with: Anthropic Agent Skills → Stanford Webinar (workflows section)

For Security Architects

Start with: Computerphile (safety) → Stanford Webinar (agentic patterns) → Anthropic Skills (governance)

For Enterprise Architects

Start with: Chip Huyen (ML systems) → Anthropic Skills (governance) → Stanford Webinar (patterns)

---

Contributing

Found a valuable video resource? Suggest additions by:

1. Ensuring it’s relevant to Technical Architects
2. Providing a brief description and key topics
3. Identifying which learning path topics it supports

Quality over quantity: Only include videos that provide unique insights or practical value for architects.