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 Out

• Real-world AI agent architecture using PyTorch, Inngest, and LangChain

• Production-grade deployment with Vercel, CI/CD, and scalable edge APIs

• Integrated authentication, billing, and credits using Clerk and Stripe

• Hands-on labs to build anonymous demo modes, template marketplaces, and more

• Built-in support for streaming UIs, code generation, and long-running tasks

• Perfect for developers building AI apps, full-stack platforms, or SaaS MVPs

• Updated 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 architecture

Table of Contents Highlights:

Chapter 1: Project Overview and Tech Stack
Chapter 2: Setting Up the Monorepo with Turborepo
Chapter 3: Architecting Your SaaS Backend
Chapter 4: Building AI Agents with LangGraph and Inngest
Chapter 5: Connecting the Retriever-Generator Pipeline
Chapter 6: Secure Sandbox Execution with E2B
Chapter 7: Fine-Tuning LLMs with PEFT and LoRA
Chapter 8: Building the Chatbot Interface and API Layer
Chapter 9: Developing the Frontend UI with Shadcn/ui
Chapter 10: Authentication and Billing with Clerk + Stripe
Chapter 11: Customizing the Developer Experience
Chapter 12: GitHub-Based AI Workflows with CodeRabbit
Chapter 13: Deploying and Scaling with Vercel and CI/CD
Chapter 14: Extending and Monetizing the Platform
Appendices: Codebase Structure, Debugging, Glossary, Resources