source{d} turns code into actionable insights

The Changelog

Adam caught up with Francesc Campoy at KubeCon + CloudNativeCon 2018 in Seattle, WA to talk about the work he’s doing at source{d} to apply Machine Learning to source code, and turn that codebase into actionable insights. It’s a movement they’re driving called Machine Learning on Code. They talked through their open source products, how they work, what types of insights can be gained, and they also talked through the code analysis Francesc did on the Kubernetes code base. This is as close as you get to the bleeding edge and we’re very interested to see where this goes.

Adam caught up with Francesc Campoy at KubeCon + CloudNativeCon 2018 in Seattle, WA to talk about the work he’s doing at source{d} to apply Machine Learning to source code, and turn that codebase into actionable insights. It’s a movement they’re driving called Machine Learning on Code. They talked through their open source products, how they work, what types of insights can be gained, and they also talked through the code analysis Francesc did on the Kubernetes code base. This is as close as you get to the bleeding edge and we’re very interested to see where this goes.

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