Direct the code. Don't just write it.The development landscape is shifting from manual coding to system orchestration. Whether you are a seasoned React engineer looking to 10x your output or a product-driven creator aiming to turn a prototype into a functional app, this wo...

Every engineering organisation is experimenting with AI coding assistants, but few have built production-grade LLM integrations into their core developer infrastructure. I have such an experience, and I will share real patterns from deploying an AI-powered code review system across a 400+ person...

Most developers using AI coding tools hit the same wall on real projects: the demos look magical, but production work falls apart. This workshop shows why — and what to do about it.The core lesson: execution is fast and cheap only when preparation is deep.Wh...

All it takes is a module and a CLI tool to build and deploy production peer-to-peer applications. In this workshop:Build a realtime peer-to-peer applicationConnect with others on your own application, completely peer-to-peer.Understand how to deploy, including produc...

LLMs are powerful but unpredictable and most tutorials skip the part where you actually have to deal with that in production code. This workshop teaches you to use generative AI as an engineering tool: how to structure prompts around schemas, validate and repair non-deterministic output, and run...

This workshop closes the old and very real gap between Node.js developers and production.Many Node.js developers can build APIs, services, and backends that work locally—but things fall apart when it’s time to containerize, deploy, scale, and operate them in real environments. This worksho...

The workshop focuses on theory and practice building production-ready AI agents with Node.js and modern Agent SDKs. We will use a real codebase as an execution environment to explain the core concepts behind agents: the agent loop, tool calling, structured outputs, context management, guardrails,...

AI agents are becoming part of the software development process, but most teams treat them like isolated tools rather than participants in a structured workflow. Without coordination, agent-driven development quickly turns into chaos: duplicated work, endless retries, and unpredictable delivery.<...

AI coding assistants are evolving from simple autocomplete to autonomous agents that can interact with external systems. But how do you teach an agent to follow your workflows and use the right tools at the right time?In this hands-on workshop, you'll discover:What MCP (Model C...

Node's concurrent nature is powerful already, but often we need to push work out of the main server for several reasons. In this work, we will explore a few scenarios in which work is cleverly pushed to another Node process to resolve.
Once we use a queue to distribute workloads, we need to...