Goal
The path to "作って学ぶAIエージェント"
Here is the reading path leading up to this book, derived from its dependencies and ordered from the fundamentals.
The path so far (3 books)
Why read this first: Once you can use an AI coding agent like Claude Code effectively, you start wanting to build one yourself to see what's happening inside. Building AI Agents walks through implementing everything from LLM calls to tool execution and Git/GitHub integration, shifting your perspective from using such a tool to building one.
Why read this first: Once you've reframed Claude Code as an 'agent that executes agreements' and internalized the spec-driven development pattern, you naturally want to see with your own hands what happens inside such an agent. Building AI Agents pushes you from being a user to a builder by having you implement the reasoning loop and tool calls in TypeScript yourself.
Why read this first: Understanding how to call LLM APIs and the basics of context design lets you keep sight of what's happening behind the reasoning loop and tool calls when building an agent from scratch in TypeScript. The context-engineering knowledge underpins the design decisions behind a self-built coding agent like Nano Code.
Sources