9798291605424 - building an ai saas app builder: a full-stack guide with next.js 15, inngest, e2b, and ai agents de steele, nathan (6 resultados)
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Paperback. Condición: new. Paperback. Building an AI SaaS App Builder: A Full-Stack Guide with Next.js 15, Inngest, E2B, and AI Agents is the ultimate hands-on playbook for developers, founders, and tech builders ready to create and scale real-world AI applications-without guesswork. Whether you're prototyping a GPT-powered chat… assistant, deploying long-running background agents, or integrating billing and authentication, this book equips you to build a production-ready AI SaaS platform from the ground up.If you've ever wondered how to combine tools like Next.js 15, LangChain, vLLM, Clerk, Stripe, and Vercel into one seamless, high-performance stack-this guide shows you exactly how. Through battle-tested examples and working code, you'll wire agent backends, stream chat responses in real time, deploy with CI/CD, and plug into GitHub with AI code reviews. Every chapter delivers immediately usable techniques that reflect the latest industry trends and best practices.Author Nathan Steele is a respected AI systems architect and full-stack engineer known for breaking down complex architectures into concise, actionable steps. With a proven background in real-world SaaS development, Steele empowers readers to go beyond theory-into actual deployment and monetization.Whether you're an indie hacker, software engineer, or startup founder, this book puts you on the fast track to building your own AI-powered SaaS products, powered by LLMs, LangGraph, and cloud-native deployment pipelines. Everything is up to date, deeply practical, and ready for immediate implementation.What Makes This Book Stand OutReal-world AI agent architecture using PyTorch, Inngest, and LangChainProduction-grade deployment with Vercel, CI/CD, and scalable edge APIsIntegrated authentication, billing, and credits using Clerk and StripeHands-on labs to build anonymous demo modes, template marketplaces, and moreBuilt-in support for streaming UIs, code generation, and long-running tasksPerfect for developers building AI apps, full-stack platforms, or SaaS MVPsUpdated for Next.js 15, server actions, React server components, and beyondTechnologies Covered: Next.js 15, LangChain, AI agents, Vercel, LangGraph, Clerk authentication, Stripe billing, PyTorch LLMs, vLLM, GitHub Actions, E2B sandboxing, streaming output, Inngest, TypeScript SaaS, ChatGPT integration, full-stack development, SaaS with AI, cloud-native apps, serverless architecture, OpenAI apps, template marketplace, AI startup architectureTable of Contents Highlights: Chapter 1: Project Overview and Tech StackChapter 2: Setting Up the Monorepo with TurborepoChapter 3: Architecting Your SaaS BackendChapter 4: Building AI Agents with LangGraph and InngestChapter 5: Connecting the Retriever-Generator PipelineChapter 6: Secure Sandbox Execution with E2BChapter 7: Fine-Tuning LLMs with PEFT and LoRAChapter 8: Building the Chatbot Interface and API LayerChapter 9: Developing the Frontend UI with Shadcn/uiChapter 10: Authentication and Billing with Clerk + StripeChapter 11: Customizing the Developer ExperienceChapter 12: GitHub-Based AI Workflows with CodeRabbitChapter 13: Deploying and Scaling with Vercel and CI/CDChapter 14: Extending and Monetizing the PlatformAppendices: Codebase Structure, Debugging, Glossary, Resources This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Condición: new. Paperback. Building an AI SaaS App Builder: A Full-Stack Guide with Next.js 15, Inngest, E2B, and AI Agents is the ultimate hands-on playbook for developers, founders, and tech builders ready to create and scale real-world AI applications-without guesswork. Whether you're prototyping a GPT-powered chat… assistant, deploying long-running background agents, or integrating billing and authentication, this book equips you to build a production-ready AI SaaS platform from the ground up.If you've ever wondered how to combine tools like Next.js 15, LangChain, vLLM, Clerk, Stripe, and Vercel into one seamless, high-performance stack-this guide shows you exactly how. Through battle-tested examples and working code, you'll wire agent backends, stream chat responses in real time, deploy with CI/CD, and plug into GitHub with AI code reviews. Every chapter delivers immediately usable techniques that reflect the latest industry trends and best practices.Author Nathan Steele is a respected AI systems architect and full-stack engineer known for breaking down complex architectures into concise, actionable steps. With a proven background in real-world SaaS development, Steele empowers readers to go beyond theory-into actual deployment and monetization.Whether you're an indie hacker, software engineer, or startup founder, this book puts you on the fast track to building your own AI-powered SaaS products, powered by LLMs, LangGraph, and cloud-native deployment pipelines. Everything is up to date, deeply practical, and ready for immediate implementation.What Makes This Book Stand OutReal-world AI agent architecture using PyTorch, Inngest, and LangChainProduction-grade deployment with Vercel, CI/CD, and scalable edge APIsIntegrated authentication, billing, and credits using Clerk and StripeHands-on labs to build anonymous demo modes, template marketplaces, and moreBuilt-in support for streaming UIs, code generation, and long-running tasksPerfect for developers building AI apps, full-stack platforms, or SaaS MVPsUpdated for Next.js 15, server actions, React server components, and beyondTechnologies Covered: Next.js 15, LangChain, AI agents, Vercel, LangGraph, Clerk authentication, Stripe billing, PyTorch LLMs, vLLM, GitHub Actions, E2B sandboxing, streaming output, Inngest, TypeScript SaaS, ChatGPT integration, full-stack development, SaaS with AI, cloud-native apps, serverless architecture, OpenAI apps, template marketplace, AI startup architectureTable of Contents Highlights: Chapter 1: Project Overview and Tech StackChapter 2: Setting Up the Monorepo with TurborepoChapter 3: Architecting Your SaaS BackendChapter 4: Building AI Agents with LangGraph and InngestChapter 5: Connecting the Retriever-Generator PipelineChapter 6: Secure Sandbox Execution with E2BChapter 7: Fine-Tuning LLMs with PEFT and LoRAChapter 8: Building the Chatbot Interface and API LayerChapter 9: Developing the Frontend UI with Shadcn/uiChapter 10: Authentication and Billing with Clerk + StripeChapter 11: Customizing the Developer ExperienceChapter 12: GitHub-Based AI Workflows with CodeRabbitChapter 13: Deploying and Scaling with Vercel and CI/CDChapter 14: Extending and Monetizing the PlatformAppendices: Codebase Structure, Debugging, Glossary, Resources This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
