Appendix D — Further Reading

Current as of May 2026. The field moves fast — when in doubt, ask your agent to find the current version of any link below.

A short, opinionated list. Not a literature review. If you read everything here you'll have most of what you need to keep up with the field.

What this book is shaped by

• Learn Harness Engineering by Walking Labs — github.com/walkinglabs/learn-harness-engineering. The structural model this book copies: short, opinionated, scenario-led chapters with a "try it yourself" at the end of each. If you like the shape of this book, you'll like that one — even though it's about a different topic (engineering the harness around an agent, rather than working with one).

To keep up with the field

• The Model Context Protocol spec — modelcontextprotocol.io. If you only read one thing, read this. It's the abstraction Ch. 9 builds on, it's open, and it's now supported by every major agent tool.
• Anthropic's engineering blog — anthropic.com/engineering. Search for "context engineering", "evals", and "prompt caching". The closest thing the industry has to authoritative writing on how agents actually work under the hood.
• Simon Willison — simonwillison.net. Near-daily writing on agent tooling, MCP servers, and the practical edges of the field. The single best running journal.
• Andrej Karpathy — @karpathy on X. The clearest public voice on what changes when models can act. Search "Karpathy vibe coding" and "Karpathy software 3.0" for the most-quoted talks.
• The Pragmatic Engineer by Gergely Orosz — newsletter.pragmaticengineer.com. Not agent-focused, but his deep-dives on AI-coding adoption inside real engineering orgs are the best window into what happens when teams roll this out at scale.
• Latent Space by swyx and Alessio — latent.space. The podcast and newsletter that takes agent tooling seriously as a craft. Their Claude Code, Cursor, and OpenCode episodes are worth your time.
• Ethan Mollick — Co-Intelligence: Living and Working with AI (2024), and his One Useful Thing Substack at oneusefulthing.org. The most-recommended general-audience writing on working with AI, and deserved.
• Vendor documentation. The official docs you'll actually return to: Claude Code (docs.claude.com/claude-code), Codex (platform.openai.com/docs/codex), OpenCode (opencode.ai), Cursor (docs.cursor.com), Gemini CLI (search "Gemini CLI" on ai.google.dev). Bookmark whichever one you use; skim the others when a chapter mentions them.
• A community space — the Latent Space Discord (invite at latent.space) or r/ClaudeAI on Reddit. Different vibes, both active. Worth lurking in one of them to see what's breaking and what's working for other people this week.

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The half-life of any specific link in this list is shorter than the half-life of the underlying ideas. If a URL is dead by the time you click it, the underlying piece almost certainly still exists somewhere — search for the title and the author, or ask your agent to find the current version. That's a one-sentence prompt and it's exactly the kind of small task this book is trying to teach you to delegate.