Agentic AI and Autonomous Development

Course details

Agentic AI is changing the way we work, and coding is no exception. AI agents offer the power of autonomous and seamlessly integrated architects—working right alongside you. In this course, join instructor Noah Gift as he outlines the foundations of the actor model for autonomous development with AI agents in Go, Rust, and Deno. Get tips for building, implementing, and supervising your own actor systems, and learn how to leverage not just AI agents, but subagents as well. Along the way, Noah shows you how to work with your own subagents in Claude, PMAT, and Clippy.

Concepts

Introduction

Course overview

Foundations of the Actor Model

The actor model - Isolation, message passing, and concurrency
Location transparency in actor systems

Go Actors Implementation

Building Go actor systems - Demo and walkthrough
Go supervisor implementation

Rust Actors Implementation

Actor supervision trees in Rust
Rust actor systems - Demo and patterns

TypeScript and Deno Actors Implementation

Deno actors - Building async actor systems

AI Agents and Subagents

Claude subagents - Multiagent architecture
PMAT subagent architecture deep dive
Clippy subagent - Code review automation
Supervised multiple agents - Coordination patterns
Amdahl's law and subagent performance
Simple agents win - Design philosophy
SLMs - Small language models for agents

Conclusion

Agentic coding project repository - Overview