AI Coding Summit

Join a focused 2-hour session covering MCP's purpose, architecture, hands-on server implementation, and future directions. Designed for developers and system architects aiming to integrate contextual data with ML models effectively. Agenda:- Introduction & Why MCP? Key challenges MCP solves and core benefits.- Architecture Deep Dive: components, interactions, scalability principles. - Building Your Own MCP Server: guided walkthrough with code snippets and best practices; live demo or code review.- Future of MCP Developments: potential enhancements, emerging trends, real-world scenarios.
Key Takeaways:- Clear understanding of MCP's rationale.- Insight into design patterns and scaling considerations.- Practical steps to implement a prototype server.- Awareness of upcoming trends and how to apply MCP in projects. 

This workshop introduces Context Engineering - a simple yet structured approach to getting consistent, high-quality results from AI coding assistants. You'll learn how to move beyond basic prompting to create comprehensive workflows to give your AI coding assistants all the architecture, best practices, project rules, code examples, and validation processes it needs to get the job done effectively. Through hands-on exercises with Claude Code, we'll demonstrate how proper Context Engineering unlocks a whole new level of agentic engineering while teaching practical techniques, templates, and best practices that help AI assistants understand your project standards and deliver production-ready code consistently.

In this workshop, I’ll guide participants through a process for building full-stack applications using Cursor. We’ll cover setting up Cursor workflows, including rules, commands, and custom modes, to streamline development. We will use Cursor to draft PRDs, database schema, etc and a simple SOW. We’ll turn notes into actionable checklists to guide the build, connecting the front end, API, and database.Additionally, we’ll create workflows for debugging, testing, reviewing, and fixing the app while reducing hallucinations with precise prompts. The session will also include a security review workflow and techniques for applying prompts to achieve a modern UI design. Attendees will leave with a functioning app on their machine and a reusable development process.

Workshop Objective:Show how teams can go from AI-generated UI to live production components in under an hour.Workshop Agenda:Part 1: Kickoff & Setup - Quick intro to the Pluggable AI method- Walk through a real example already running in production- Align on the selected AI/visual tool (Claude, Gemini, etc.)- Choose 1–2 UI components to work with- Define what’s needed to make the component pluggable- Select the host app Part 2: Generate the Component - Use the selected AI tool to generate the UI component- Myop team helps ensure it fits integration guidelines (structure, format)Part 3: Integration Preps- Identifying where the component connects (logic hook)-Review generated component and prepare for connectionPart 4: Plug It Live - Plug the component into the live app using Myop's open source- Optional: test versioning, A/B testing, segmentation, gradual rolloutPart 5: Wrap-Up- Recap effort vs. outcome- Q&A