Spec-Driven AI Engineering Build Reliable Software from Requirements to Code with AI Agents, Tests, and Production Workflows (Gem Iroko)（Z-Library） (1)

AI coding agents can generate code quickly, but fast code is not the same as reliable software. A vague prompt can create the wrong feature. A missing requirement can become a hidden bug. A skipped test can turn into a production failure. When AI-generated code is accepted without structure, teams often end up with fragile systems, unclear decisions, security gaps, and endless rework. Spec-Driven AI Engineering gives you a practical, step-by-step system for using AI agents without losing control of software quality. This book teaches you how to move from a rough idea to a clear engineering workflow: requirements, product specifications, technical design, task lists, test plans, AI-assisted implementation, code review, deployment, monitoring, and long-term maintenance. Instead of treating AI as a magic code generator, you will learn how to use AI as a disciplined engineering assistant working inside clear specifications, quality gates, and review rules. Inside this book, you will learn how to: Turn vague software ideas into clear engineering intent documents Write practical requirements and acceptance criteria before code generation Create product requirements documents, technical specifications, API specs, and database designs Use AI coding agents with structured context instead of random prompts Convert specifications into small, testable engineering tasks Plan unit, integration, end-to-end, security, and performance tests before implementation Use AI to generate better tests without accepting shallow test coverage Debug AI-generated software with logs, stack traces, and root cause analysis Review and refactor AI-generated code against requirements, architecture, security, and performance goals Plan deployment, configuration, CI/CD workflows, rollback strategies, and production readiness Monitor released software, handle spec drift, and keep documentation aligned with reality Build repeatable team workflows for product managers, developers, testers,