AI can generate code in seconds. Engineering is knowing what to trust, what to test, and when to stop. Follow Maya, Eli, and Noor as their team builds a small app with AI agents-from turning a user request into clear acceptance checks to reviewing generated code, protecting data, and rehearsing a release. Learn how tokens, context windows, and prompt caching shape cost; how to choose models and tools without buying every subscription; and how repositories, instructions, skills, plugins, subagents, and harnesses keep agent work focused. Compare VectorRAG, GraphRAG, RAPTOR, and Open Knowledge Format on a concrete example, then inspect AI-generated code for correctness, security, performance, and reliability. No software-engineering background or earlier book in the series is required. Each concept moves from a plain-language explanation to a practical check you can run and evidence you can evaluate. Build faster. Verify what matters. Ship with confidence.
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