{"product_id":"genai-for-software-engineers-desire-faucher-9798189849770","title":"GenAI for Software Engineers: Build, Test, Debug, Secure, and Deploy Production-Ready Software with Generative AI","description":"\u003cb\u003eGenAI for Software Engineers: Build, Test, Debug, Secure, and Deploy Production-Ready Software with Generative AI\u003c\/b\u003e\u003cp\u003e\u003cb\u003eWriting code faster with AI is easy. Shipping reliable software with it is not.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eYou may already use generative AI to draft functions, explain unfamiliar code, or suggest fixes. But production engineering demands far more than plausible output. AI-generated changes can introduce hidden defects, weaken architecture, miss authorization rules, expose sensitive data, create unreliable tests, or make broader changes than the task requires.\u003c\/p\u003e\u003cp\u003eThis book is for software engineers, technical leads, AI engineers, and development teams who want to use coding agents and generative AI without surrendering control over correctness, security, review, and deployment.\u003c\/p\u003e\u003cp\u003eWithout a disciplined workflow, greater coding speed can simply produce defects, rework, fragile systems, and software changes that are difficult to trust.\u003c\/p\u003e\u003cp\u003eThis practical guide shows you how to place generative AI inside a controlled software engineering process that moves from specification to production evidence.\u003c\/p\u003e\u003cp\u003eYou will build a multi-tenant FastAPI and PostgreSQL application while applying a repeatable workflow: \u003c\/p\u003e\u003cp\u003e\u003cb\u003eSpecify → Plan → Execute → Check → Review → Release → Observe → Improve\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eThrough progressive, hands-on implementation, you will learn how to: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eturn requirements into executable specifications, acceptance criteria, contracts, and agent-ready task briefs\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003ebuild secure, tenant-aware application features with Python, FastAPI, PostgreSQL, SQLAlchemy, and managed migrations\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003etest AI-generated software using unit, integration, API, contract, property-based, mutation, security, and regression testing\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003econnect coding agents to approved tools and data through the Model Context Protocol\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003edefend against prompt injection, unsafe tool actions, secret exposure, vulnerable dependencies, and unauthorized changes\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eorchestrate specialized planning, implementation, testing, and review agents with isolated branches and worktrees\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003edeploy and monitor GenAI-enabled applications through controlled CI\/CD, containers, observability, evaluation, and governance\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThe guidance is designed for developers who want practical GenAI software engineering workflows rather than abstract discussion or uncontrolled automation.\u003c\/p\u003e\u003cp\u003eThe book develops one continuous production-oriented project from environment setup through architecture, implementation, authentication, authorization, testing, debugging, retrieval, MCP integration, agent orchestration, security, deployment, monitoring, and governance.\u003c\/p\u003e\u003cp\u003eYou will work with concrete engineering artifacts, including repository instructions, implementation plans, agent skills, handoff templates, verification commands, security checklists, production-readiness reviews, and evaluation scorecards. Every stage emphasizes scoped changes, executable evidence, human approval, tenant isolation, traceability, and rollback safety.\u003c\/p\u003e\u003cp\u003eBy applying these methods, you can move beyond isolated AI code generation and develop a dependable system for building software with generative AI while preserving engineering judgment and operational accountability.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eGet your copy and start building AI-assisted software workflows that are faster, safer, testable, and ready for real production demands.\u003c\/b\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Desire Faucher\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798189849770\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 07\/30\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 238\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.92lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 10.00h x 7.00w x 0.50d","brand":"Desire Faucher","offers":[{"title":"Paperback","offer_id":50666030399743,"sku":"9798189849770","price":32.0,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/genai-for-software-engineers-desire-faucher-9798189849770","provider":"WR Book House","version":"1.0","type":"link"}