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Changelog Media

Software's best weekly news brief, deep technical interviews & talk show.

The Changelog: Software Development, Open Source

Gerhard is back for Kaizen 22! We're diving deep into those pesky out-of-memory errors, analyzing our new Pipedream instance status checker, and trying to figure out why someone in Asia downloads a single episode so much.

Kaizen! Let it crash (Friends)

Mat Ryer is back and he brought his impromptu musical abilities with him! We discuss Rob Pike vs thankful AI, Microsoft's GitHub monopoly (and what it means for open source), and Tom Tunguz' 12 predictions for 2026: agent-first design, the rise of vector databases, and are we about to pay more for AI than people?!

The GitHub problem (and other predictions) (Friends)

Linus Torvalds pushes AI generated code, Jordan Fulghum thinks this is the year of self-hosting, FracturedJson formats for compact / human readability, Scott Werner believes a flood of adequate software is coming, and Sean Goedecke explains why generic software design advice is useless.

Linus Torvalds gets the AI coding bug (News)

We're joined by Sid Sijbrandij, founder of GitLab who led the all-in-one coding platform all the way to IPO. In late 2022, Sid discovered that he had bone cancer. That started a journey he's been on ever since... a journey that he shares with us in great detail. Along the way, Sid continued founding companies including Kilo Code, an all-in-one agentic engineering platform, which he also tells us all about.

From GitLab to Kilo Code (Interview)

Brian Guthrie lists his seven rules for moving faster in software, Continuous-Claude-v2 is a context management system for Claude Code, Gas Town is Steve Yegge's multi-agent orchestrator for Claude Code, Paul Dix sees a great engineering divergence in 2026, and Mattias Geniar thinks web development is fun again.

The move faster manifesto (News)

Our 8th annual year-end wrap-up is here! We’re featuring 8 listener voicemails, dope Breakmaster Cylinder remixes & our favorite episodes of the year. Thanks for listening! 💚

State of the "log" 2025 (Friends)

Ajay Kulkarni from Tiger Data (Co-founder/CEO) is on the pod this week with Adam. He asked him to get vulnerable and trace his path to becoming a CEO. They dig into the themes that have shaped his career, and explore how founder values end up forming company culture (whether you intend them to or not). From his enterprise days to building Timescale (and the rename to Tiger Data), we cover the whole journey — even the haters, because haters gonna hate. Here's where it gets really interesting: Agents in the database! Not the hype. The real thing baby. They get into how fast you can go from idea to shipped these days, what it actually means to talk to your database, and the whole API/CLI/MCP/Skills movement.

Agents in the database (Interview)

This episodes diverges from our traditional fare. I’ve reviewed the 49 previous editions and picked (IMHO) the coolest code, best prose & my favorite podcast episode from each month!

The code, prose & pods that shaped 2025 (News)

Alex Kretzschmar joins Adam for a trip down the Linux rabbit hole -- Docker vs Podman, building a Kubernetes cluster, ZFS backups with zfs.rent, bootc, favorite Linux distros, new homelab tools built with AI, self-hosting Immich, content creation, Plex and Jellyfin, the future of piracy and more.

Down the Linux rabbit hole (Friends)

We're joined by Zipline cofounder / CTO, Keenan Wyrobek. Zipline is on a mission to build the world’s first logistics system that serves all people equally via their fleet of autonomous drones that started in Africa delivering medical supplies and can now deliver packages (up to 8 lbs) directly to your door. They've solved a lot of gnarly technical and regulatory challenges along the way. We go deep with Keenan. We hope you'll find this one fascinating.

Autonomous drone delivery in a Zip (Interview)

We're talking with Greg Kurtzer, the founder of CentOS, Warewulf, and most recently Singularity — an open source container platform designed to be simple, fast, and secure. Singularity is optimized for enterprise and high-performance computing workloads. What's interesting is how Singularity allows untrusted users to run untrusted containers in a trusted way. We cover the backstory, Singularity Pro and how they're not holding the open source community version hostage, as well as how Singularity is being used to containerize and support workflows in artificial intelligence, machine learning, deep learning, and more.

Containerizing compute driven workloads with Singularity (Interview)

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