Right now, your feed is flooded with developers claiming they casually "vibe coded" an entire application before breakfast. It is incredibly easy to feel like you are missing out or falling behind the curve as the rest of the industry races ahead. But here is the truth nobody is sharing: the industry is caught in a massive "wow demo" trap. While it looks like magic when an AI generates an app in minutes, that raw speed is creating a hidden crisis. We are seeing a massive surge in unmaintainable technical debt and a crippling "verification bottleneck" where developers are spending more time untangling AI hallucinations than writing actual logic. In this session, you will learn a new inventory of skills such as:

- Prompting for Production: You will learn structural techniques like few-shot and chain-of-thought prompting to minimize logical errors and guide the model effectively.

- Context Management: You will learn how to observe the dynamic context your AI sees, manage token limits, and avoid "context rot" so the AI doesn't lose track of your codebase.

- Developer Tools: Learn to build and use MCP servers to safely ground your agents in real data, documentation, skills, and external APIs.

- Agents and Subagents: You will understand why monolithic agents fail at complex tasks and how to securely delegate specific workflows to specialized subagents running in parallel.

- Spec-Driven Development: You will use SDD to make your formal specifications the definitive source of truth.

Ever wondered how you can create AI agents with different roles and let them collaborate? In this session, we’ll build a multi-agent system that creates and runs an adventure campaign.

We’ll start from scratch on learning the basics of Agents, how to create a simple agent and end up creating a Game Master storyteller, that could explore game rules, create characters, roll the dice and pivot with your story for multiple players.

We’ll explore how MCP servers act as magical tools. How you can expand the knowledge of your Agents through Vector Databases and Knowledge Bases. Learn multi-agent architecture, TypeScript patterns using tools, MCP integration, and best practices for orchestrating multiple AI models.

No adventure game experience required, just bring your curiosity for AI and love of TypeScript!