Local development has always been king—no surprises with dependencies, latency or bills, and you get to smugly declare “It works on my machine!” But tossing AI into the mix can muddy that water. This session dives into how to keep your workflow local and network optional: from running AI models on your laptop, to testing out different code assistants, infusing AI directly into your apps, and comparing models across vendors and sizes for the sweet spot between speed and accuracy.
You’ll also get a handy pros-and-cons breakdown of local vs. remote models so you can pick what fits your project (and hardware) best. Say goodbye to unexpected cloud bills and hello to AI-powered, self-contained coding bliss!
Watch on YouTube
Top comments (0)