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!
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!
Kevin Dubois
IBM
Kevin Dubois is a software architect and platform engineer with a career spanning over 20 years. He is often featured as a keynote speaker at conferences around the world where he shares his experience and knowledge about cloud native & AI software development, developer experience, open source and Java. Kevin is also an author and Java Champion. He currently works as a Senior Principal Developer Advocate at IBM, and is also Technical Lead for the CNCF Developer Experience Technical Advisory Group.
Cedric Clyburn
Red Hat
Cedric Clyburn (@cedricclyburn), Senior Developer Advocate at Red Hat, is an enthusiastic software developer with a background in Kubernetes, DevOps, and container tools. Focused on open-source software, he both contributes (e.g., Podman, vLLM) and enjoys speaking, with prior experience at Devoxx, WeAreDevelopers, The Linux Foundation, and more. Cedric also spends (too much) time creating video and written content helping developers learn new topics in emerging technologies, with over 2M+ views online. He’s based in New York City and is an organizer of the local Kubernetes Community Day.