Coding Effectively with AI - Cory House

Coding Effectively with AI
It seems everyone is coding with AI assistance these days. But how do we do so effectively? And how do we pick between dozens of approaches? We'll explore picking an editor vs using a CLI, choosing models, configuration techniques for optimizing outputs, creating custom agents, handling requirements, code review workflows, using and configuring MCP servers, seven levels of AI assistance, implementing hooks, spec driven development, context management, prompting techniques, learning modes, implementing tests via AI, and more. Attendees will walk away with a variety of new ideas to consider and a mental model for how to choose between them.

Speaker: Cory House (https://x.com/housecor)
Cory is an author, a 12 time Microsoft MVP, and international speaker. He is founder of reactjsconsulting, where he helps companies transition to React. He has trained over 10,000 software developers at conferences and businesses worldwide. Cory has authored over a dozen courses on JavaScript, React, C#, testing, and web development on Pluralsight and Dometrain. He shares software development tips daily on X as @housecor.

SeeSharper: Dev Containers in 15 Minutes
Duane Newman (@duanenewman)
Your environment is tribal knowledge; your code is version controlled. Those two drift apart from day one, and the README always loses. Dev containers fix that by making the environment a file in your repo. In fifteen minutes we'll go from an empty folder to a working .NET API running on Linux, with nothing new installed on the laptop — then put a coding agent inside that container. An agent on your machine runs as you, reaching every repo and credential you have. In the box, "what can this touch?" finally has a boring answer.

Sponsored & Hosted By: Alien Arc Technologies
Location Provided by: Quest Analytics