Local Development in the AI Era
Most of us swear by local development—no weird network hiccups, full control, and that sweet “it works on my machine” bragging rights—but AI tooling is throwing a wrench in the works. This session shows you how to keep things local (and network-optional) by running models on your own box, testing out different code assistants, and weaving AI into your code without pinging the cloud.
You’ll also get a crash course in sizing up models (big vs. small, speed vs. accuracy) from various vendors and weighing the trade-offs between local and remote inference. Walk away with practical tips to supercharge your dev workflow, sharpen your code, and build smarter features—all while keeping the whole show under your roof.
Watch on YouTube
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