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Changelog Media

Your one-stop shop for all Changelog podcasts. Weekly shows about software development, developer culture, open source, building startups, artificial intelligence, shipping code to production, and the people involved. Yes, we focus on the people. Everything else is an implementation detail.

Changelog Master Feed

The Dead Internet Theory dies, Geoffrey Litt tries to code like a surgeon, Matt Sephton thinks spreadsheets are great for UI design, Nate Meyvis advocates for front-end maximalism, Hemant Pandey thinks 9-5 employment is a great option for most, David Miranda compares React to Backbone in 2025.

Code like a surgeon (Changelog News #167)

It's our first Kaizen after the big Pipely launch in Denver and we have some serious mopping to do. Along the way, we brainstorm the next get-together, check out our new cache hit/miss ratio, give Pipely a deep speed test, discuss open video standards, and more!

Kaizen! Mop-up job (Changelog & Friends #114)

Ellie Huxtable's magical shell tool, Atuin, won developers' hearts by syncing, searching, and backing up our shell history with ease. Now Ellie is tackling the desktop with a GUI built to help teams make their workflows repeatable, shareable, and reliable.

Bringing Atuin to the desktop (Changelog Interviews #663)

Csaba Okrona lays out exactly what Flow is (then shows you how to engineer your way back to it), a smart vacuum turned against an innocent hacker, Matz and the Ruby core team step up to steward RubyGems, Simon Willison things Claude Skills could be bigger than MCP, and Luke Plant looks at technical debt from a more positive perspective.

The science behind developer flow states (Changelog News #166)

Mike McQuaid and Justin Searls join Jerod in the wake of the RubyGems debacle to discuss what happened, what it says about money in open source, what sustainability really means for our community, making a career out of open source (or not), and more. Bleep!

There will be bleeps (Changelog & Friends #113)

We're joined by Deepak Singh from the Kiro team. Kiro is AWS's attempt at building an AI coding environment to take you from prototype to production. It does that by bringing structure to your agentic workflow with spec-driven development. Their aim: the flow of AI coding, leveled up with mature engineering practices.

Spec-driven development with Kiro (Changelog Interviews #662)

Denis Stetskov describes how we've "normalized catastrophe" in the software industry, Meta is officially handing React and React Native over to a foundation, The New Stack reports on GitHub's Azure migration priority, Miguel Grinberg benchmarks Python 3.14, and The Oatmeal's Matthew Inman published his take on AI art.

The great software quality collapse (Changelog News #165)

Elixir creator, José Valim, is throwing his hat into the coding agent ring with Tidewave –a coding agent for full-stack web development. Tidewave runs in the browser alongside your app, but it's also deeply integrated into Rails and Phoenix. On this episode, José tells us all about it. Also: his agent flow, YOLO mode, an MCP hot take, and more.

A new direction for AI developer tooling (Changelog & Friends #112)

Our friends at Cult.Repo launch their epic Vite documentary on October 9th, 2025! To celebrate, Jerod sat down with Evan You to discuss Vite's adoption story, why he raised money to start VoidZero, how developer documentaries get made, open source sustainability, and more.

Vite documentary companion pod (Changelog Interviews #661)

Abner Coimbre makes a compelling case why our biggest technical talent should abandon for-profit social platforms, Noah Brier creates a Claude Code and Obsidian starter kit, Bharath Natarajan documents the Vercel vs Cloudflare fight, Toolbrew is a well-designed website brimming with common utilities, and Yusuf Aytas analyzes why over-engineering happens.

The best coders should exit the feed (Changelog News #164)

It seems like all we hear about are the great use cases for GenAI, but where should you NOT be using the technology? On this episode Chris and Daniel share their hot takes and bad use cases. Some may surprise you!

GenAI hot takes and bad use cases (Practical AI #304)

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