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Two major PostgreSQL community events took place recently: PostgreSQL Development Conference 2026 (Vancouver, BC, Canada), and PG DATA 2026 (Chicago, IL). Pat Wright and Kellyn Gorman attended both and, in this quick-fire episode, offer their thoughts and key takeaways from the events. Recorded on-site at PASS Summit Europe in Frankfurt, Germany (June 11th, 2026).

Cortex co-founder and CTO Ganesh Datta sits down with Shawn Burke, Distinguished Engineer at Cortex, to explore what separates an operational excellence review that drives real engineering behavior from one that produces great conversation and nothing else. Shawn draws on experience from SoFi, Uber, and Microsoft to explain why these reviews so often fail—and how to build a process that actually sticks.

AI agents are powerful. They're also unpredictable, non-deterministic, and capable of doing things you didn't ask them to do, as the Rome Alibaba and Claude Mythos case studies make very clear. The answer isn't to avoid agentic AI. It's to run it properly. In this demo, Ben Norris, founding engineer at relaxAI, shows how to build a fully sandboxed AI agent environment from scratch, an ephemeral Civo VM provisioned via Terraform and GitHub Actions, locked down with egress policies, an unprivileged Linux user, and hard resource caps, running a Claude Code session pointed at the relaxAI API.

Harness has been named a Leader in the 2026 Gartner Magic Quadrant for DevSecOps Platforms — for the third year in a row. Here's what stands out: almost every company in the Leaders quadrant is missing a piece. Some have Dev, some have Ops, but not the security. Harness is the one platform that brings Dev, Sec, AND Ops together — with AI built in. AI is changing how software gets built: more code, more automation, more agents — but also more complexity. Teams need delivery, security, testing, reliability, and cost in one place. That's what we're building every day.

Compute, network, and now storage it’s available now, spin it up straight from the portal and have a go.

Most AI applications in production right now were shipped on vibes. A developer ran a few queries, liked what they saw, and pushed to prod. Laurie Voss argues that's the core reason so many AI products feel broken, and the fix is simpler to name than it is to do: write the tests.