Software Defined Interviews

Enterprise architecture is nearly extinct, and Rick Clark thinks fifteen years of shifting every decision left is what killed it. One insurance company he worked with ended up with over 50 secrets managers in production. His advice before you put AI anywhere near a mess like that: brush your teeth first.

Viktor Farcic makes animated bedtime stories about tech history because he decided people should not have to look at his face. He also runs 20 to 50 agents at once, has them argue with each other, and reviews their work off a private YouTube channel in the morning. Plus: why AI is cheap next to a salary, why he expects a bloodbath, and what actually went wrong at Docker.

Lin Sun flew a drone over 13,000 people in a KubeCon keynote so an AI model on her laptop could score how engaged they were. It broke twice on stage, and she's thinking of doing it again. Why that still worked, what a KubeCon program co-chair actually does with three thousand submissions, how they spot AI-written CFPs, and whether working on open source makes you less strategic to the company paying your salary.

Jason Yee has two jobs that turn out to be the same job - Staff Technical Advocate at Datadog, and one of three global co-chairs of DevOpsDays - and both are about getting other people to talk. How the DevOpsDays machine actually runs, what sponsorship looks like now that DevOps is mature rather than hot, and why the sponsors doing well have stopped counting leads and started running workshops.

Michael Rishi Forrester built his son a homebrew tabletop campaign with AI in the loop - 20 hours of work instead of 60 to 100 - and found out the hard way that the model had quietly started doing the dice math itself. That turns into an argument about why individuals get so much value out of AI while organizations get so little, and why the ROI is at the workflow level or nowhere.