Building an AI SaaS App Builder: A Full-Stack Guide with Next.js 15, Inngest, E2B, and AI Agents

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 beyond Technologies 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 Read more