This episode is different than what you’re used to. We’ve been clipping highlights of the show for awhile now to share on Twitter and YouTube. A side effect of that effort is a bunch of awesome clips just sitting on Jerod’s hard drive collecting digital dust. So, here’s a beta test of a “best of” style clips show covering the summer months. Let us know if you like it!

Francesc Campoy and Isobel Redelmeier joins the panel to discuss Go’s context package including real-world insights into its use and misuse.

Mat, Johnny, and Jaana are joined by Francesc Campoy to talk about Graph databases. We ask all the important questions — What are graph databases (and why do we need them)? What advantages do they have over relational databases? Are graph databases better at answering questions you didn’t anticipate? How is data structured? How do queries work? What problems are they good at solving? What problems are they not suitable for? And…since we had Francesc on the hot seat, we asked him about Just for Func and when it’s coming back.

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.

In our first show after GopherCon, we are joined by Francesc Campoy to chat about some of our GopherCon experience, understanding nil, and a great variety of interesting topics of interest to the Go community.