Local Development in the AI Era

Most of us like to do local development. It means we’re in control of any dependencies, network issues/latency, configurations and cost. And we love to say that “It works on my machine” don’t we? 🙂
Now, with the advent of AI-driven development, it has become more challenging than ever before to do pure local development.
In this session we’ll take a look at various solutions to continue to do local, network-optional development, even with AI:
* Run AI models locally.
* Evaluate different code assistants that can work with these locally running models
* Explore how to infuse AI capabilities from local models into our code
* Compare models from different vendors; and with different sizes to find the right balance between performance and accuracy
* Weigh pros and cons of using local vs remote models
Come to this session to learn more about local development while leveraging AI to optimize our development flow, code and our functionality itself!