Szczegóły ebooka

Code Revealed is a practical guide for teams learning to work with AI agents in real delivery environments. Rather than treating AI as a coding shortcut, it shows how to introduce it as a managed capability across the software lifecycle.
It explains how agents differ from assistants, why evaluation matters when selecting tools, and how development changes when intent, supervision, and validation become more important than manual implementation.
You will learn how to use frameworks such as RACM to assess capability, Context Engineering to improve reliability, and PAIP to introduce repeatable integration patterns. The book also explains why Execution Plans and Logbooks matter when delegating work to agents, giving teams a way to align before action and review what happened afterward.
Beyond process, the book examines team redesign, new specialist roles, and the shift from directing people alone to orchestrating human and artificial contributors together.
It also addresses difficult issues often overlooked in AI adoption, including code churn, weak oversight, security exposure, opaque decisions, and the long-term cost of unmanaged speed. The result is a practical roadmap for adopting AI with discipline, transparency, and measurable intent.