Part 3 Hands-on projects
You’ve built a strong theoretical foundation in generative AI and mastered advanced techniques with the Vercel AI SDK and LangChain.js. Now it’s time to bridge the gap between learning and production by exploring complete, functional, generative AI web applications. This part is dedicated to providing you with real-world codebases so you can see how all the pieces fit together in a practical context.
I’ll provide the full code for two significant projects: an AI interview assistant and an AI retrieval-augmented generation agent. For each project, we’ll go beyond simply presenting the code. Instead, we’ll explore its key features, dissect the architectural decisions, and delve into crucial development considerations, including best practices for performance, scalability, and maintainability. This process will give you the practical insights needed to understand, adapt, and build your own complex generative AI web applications.