AI Agents for Web Developers: Build Goal-Driven, Multi-Step Web Experiences That Automate Real Work
What if your web app could understand a user’s goal, plan the steps required to achieve it, call the right tools, and complete tasks end-to-end—without constant human direction? As AI agents transform how modern software behaves, developers everywhere are asking the same question: How do I build real agentic features that actually ship, scale, and deliver measurable results?
This book gives you a complete, practical roadmap. Instead of abstract theories, it shows how to build agentic web applications that interpret intent, orchestrate actions, coordinate with APIs, and produce outcomes in real time. You’ll learn how today’s most effective agents are structured, how they reason through tasks, and how to engineer robust workflows that work reliably across browsers, servers, and distributed systems.
Every chapter is grounded in real implementation patterns: goal decomposition, planning modules, multi-agent coordination, state management, safe tool execution, UI collaboration, evaluation pipelines, and governance controls. Whether you’re enhancing an existing product or architecting a new agentic workflow from scratch, you’ll find clear, battle-tested guidance.
You’ll gain the ability to:
Build goal-driven agent workflows that break tasks into actionable steps
Design front-end experiences where users and agents collaborate fluidly
Orchestrate tools, APIs, webhooks, and multi-step backends
Implement safe-actions, approvals, guardrails, and auditing mechanisms
Measure success with real metrics: latency, tool-call reliability, completion rates
Scale from a single-agent architecture to multi-agent systems without chaos
Manage distributed state, concurrency, and conflict resolution
Deploy agentic web apps using serverless, containerized, or edge environments
Reduce operational cost by avoiding common agentic failure patterns
If you’ve been wondering how to integrate AI agents into your product, how to architect them correctly, or how to avoid the pitfalls that have slowed many early adopters, this book answers those questions with clarity and precision. It meets you where you are—front-end, backend, or full-stack—and equips you with patterns you can apply immediately.
Agentic systems represent a major shift in how web apps are built. The developers who master them now will shape the next decade of software.
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Paperback. Etat : new. Paperback. AI Agents for Web Developers: Build Goal-Driven, Multi-Step Web Experiences That Automate Real WorkWhat if your web app could understand a user's goal, plan the steps required to achieve it, call the right tools, and complete tasks end-to-end-without constant human direction? As AI agents transform how modern software behaves, developers everywhere are asking the same question: How do I build real agentic features that actually ship, scale, and deliver measurable results?This book gives you a complete, practical roadmap. Instead of abstract theories, it shows how to build agentic web applications that interpret intent, orchestrate actions, coordinate with APIs, and produce outcomes in real time. You'll learn how today's most effective agents are structured, how they reason through tasks, and how to engineer robust workflows that work reliably across browsers, servers, and distributed systems.Every chapter is grounded in real implementation patterns: goal decomposition, planning modules, multi-agent coordination, state management, safe tool execution, UI collaboration, evaluation pipelines, and governance controls. Whether you're enhancing an existing product or architecting a new agentic workflow from scratch, you'll find clear, battle-tested guidance.You'll gain the ability to: Build goal-driven agent workflows that break tasks into actionable stepsDesign front-end experiences where users and agents collaborate fluidlyOrchestrate tools, APIs, webhooks, and multi-step backendsImplement safe-actions, approvals, guardrails, and auditing mechanismsMeasure success with real metrics: latency, tool-call reliability, completion ratesScale from a single-agent architecture to multi-agent systems without chaosManage distributed state, concurrency, and conflict resolutionDeploy agentic web apps using serverless, containerized, or edge environmentsReduce operational cost by avoiding common agentic failure patternsIf you've been wondering how to integrate AI agents into your product, how to architect them correctly, or how to avoid the pitfalls that have slowed many early adopters, this book answers those questions with clarity and precision. It meets you where you are-front-end, backend, or full-stack-and equips you with patterns you can apply immediately.Agentic systems represent a major shift in how web apps are built. The developers who master them now will shape the next decade of software. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798276267227
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Paperback. Etat : new. Paperback. AI Agents for Web Developers: Build Goal-Driven, Multi-Step Web Experiences That Automate Real WorkWhat if your web app could understand a user's goal, plan the steps required to achieve it, call the right tools, and complete tasks end-to-end-without constant human direction? As AI agents transform how modern software behaves, developers everywhere are asking the same question: How do I build real agentic features that actually ship, scale, and deliver measurable results?This book gives you a complete, practical roadmap. Instead of abstract theories, it shows how to build agentic web applications that interpret intent, orchestrate actions, coordinate with APIs, and produce outcomes in real time. You'll learn how today's most effective agents are structured, how they reason through tasks, and how to engineer robust workflows that work reliably across browsers, servers, and distributed systems.Every chapter is grounded in real implementation patterns: goal decomposition, planning modules, multi-agent coordination, state management, safe tool execution, UI collaboration, evaluation pipelines, and governance controls. Whether you're enhancing an existing product or architecting a new agentic workflow from scratch, you'll find clear, battle-tested guidance.You'll gain the ability to: Build goal-driven agent workflows that break tasks into actionable stepsDesign front-end experiences where users and agents collaborate fluidlyOrchestrate tools, APIs, webhooks, and multi-step backendsImplement safe-actions, approvals, guardrails, and auditing mechanismsMeasure success with real metrics: latency, tool-call reliability, completion ratesScale from a single-agent architecture to multi-agent systems without chaosManage distributed state, concurrency, and conflict resolutionDeploy agentic web apps using serverless, containerized, or edge environmentsReduce operational cost by avoiding common agentic failure patternsIf you've been wondering how to integrate AI agents into your product, how to architect them correctly, or how to avoid the pitfalls that have slowed many early adopters, this book answers those questions with clarity and precision. It meets you where you are-front-end, backend, or full-stack-and equips you with patterns you can apply immediately.Agentic systems represent a major shift in how web apps are built. The developers who master them now will shape the next decade of software. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798276267227
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