AI-Driven Development: Building Smarter Web Apps with LLMs

AI is rapidly reshaping the modern development workflow—from brainstorming and architecture to writing tests and debugging. In this hands-on workshop, we’ll explore how large language models (LLMs) are becoming indispensable tools for full-stack developers. You’ll learn not just *what* AI can do, but *how* to integrate it thoughtfully and effectively into your own applications. Over the course of six hours, we’ll move through structured cycles of instruction, live coding, challenges, and solution walkthroughs. You’ll gain practical experience and walk away with a fully functioning AI-powered web app.

Daniel Kelly

Airmeet

July 8 2025, 2:00 PM

6 hrs

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Who is this for ?

This workshop is designed for experienced full-stack developers who want to level up their skills in AI-powered development. You should be comfortable with JavaScript/TypeScript. Familiarity with Nuxt and Vue are a plus but are not required. The concepts taught apply in the context of any framework with minimal adaptation.

What will the attendees learn?

Build a Smart AI Chatbot with the AI SDK

Retrieval Augmented Generation (RAG)

Using AI Agents in Your Workflow

🧠 Topics Covered:

Prompt Engineering for Developers

Learn modern best practices to write clear, effective prompts tailored for software development tasks—whether you're generating code, writing tests, or debugging. Go home with a collection of proven prompts to enhance your arsenal.
Using AI Agents in Your Workflow

Explore Cursor AI and other developer-focused tools that harness LLMs as code copilots, test writers, and architecture assistants. Supercharge Cursor with the Model Context Protocol (MCP) enabling it to act on or retrieve data from third-party systems. Get all the tips and tricks!
Retrieval Augmented Generation (RAG)

Dive into RAG—an essential technique for grounding LLM responses in external data. You’ll learn how to embed, index, and query data so your AI apps return accurate, context-aware answers.
Build a Smart AI Chatbot with the AI SDK

Combine everything you've learned by building a production-ready, semantically searchable chatbot. We’ll cover front-end integration (with Nuxt), server-side handling, and scalable architecture for AI features.

🛠️ What You’ll Build:

A Nuxt-based smart chatbot app powered by the AI SDK, featuring:

Semantic search using embeddings
A custom RAG pipeline for context-aware conversations
An LLM agent that can answer domain-specific questions
End-to-end developer experience enhanced by AI coding tools

💡 Bonus Topic (if time permits): Model Context Protocol (MCP)

If we have time, we’ll take your knowledge of MCPs to the next level by writing a custom remote MCP and deploy it Cloudflare.

Maximum number of seats

No limit on the number of participants