playnext.fm
Two white robotic arms reaching toward a translucent box on a grey surface

Topics / Coding & Dev Tools

Coding & Dev Tools Podcasts

11 shows and 6,693 episodes sit under Coding & Dev Tools.

How the top podcasts are covering AI coding assistants and coding agents — The Stack Overflow Podcast, Software Engineering Daily, The InfoQ Podcast, The Changelog, Talk Python

Photo: Brecht Corbeel on Unsplash · Unsplash License

Swipe · Coding & Dev Tools only

Swipe through Coding & Dev Tools

Save time discovering your next favourite podcast by listening to just the best minute of an episode.

Start swiping11 Coding & Dev Tools Podcasts and 6,693 Coding & Dev Tools Episodes

The coding & dev tools slate · every cover a link

All 11 coding & dev tools shows →

Before you press play

A listener's guide to Coding & Dev Tools podcasts

A useful coding-tool conversation begins after the demo. The interesting part is what happens when the tool meets an old codebase, a skeptical maintainer, a review queue, or a production system that cannot tolerate improvisation. In audio, that usually means builders thinking aloud: long technical explanations, careful follow-ups, and the occasional war story that exposes more than a feature list ever could.

The strongest shows here assume you already know why AI-assisted development matters. They spend their time on judgment, workflow, and the awkward distance between generating code and owning it.

From prompt to engineering practice

The InfoQ Podcast is the place for tradeoffs. Its host lets senior engineers develop an argument at length, then restates the critical point and presses on the edge cases. From MCP and Vibe Coding to Harness Engineering: How Did AI Native Engineering Evolve in One Year puts the changing vocabulary of the field directly on the table, while The Human Edge: Why Brownfield Codebases Need Mob Programming, Not Just AI Vibes points toward the harder problem: using new tools where software already has history. The tone is measured, technically dense, and refreshingly suspicious of easy answers.

The Stack Overflow Podcast moves faster and keeps the framing close to everyday development work. Guests often carry the technical explanation, but the host repeatedly translates a thesis into the practical question a working engineer would ask next. From PHP to team lead of agents: rethinking judgment, review, and data with Google's Andi Gutmans (Part 1) is an unusually compact statement of how the developer’s role is shifting. Pair it with Building an agentic SDLC with a QA engineering mindset for the process side of the same conversation.

Software Engineering Daily offers the most classroom-like version of this material. Episodes proceed through architecture, history, and implementation tradeoffs with little banter and plenty of room for a guest to explain the machinery. Agentic DevOps at AWS takes the discussion into operations, while SED News: Restricted Models, IDE Wars, and the DeepMind Mafia catches the competitive tooling landscape in a looser format. Anyone who wants the system diagram before the opinion will be well served here.

The developer-tool bench

Talk Python To Me brings AI tooling down to the level of something a developer might actually open and use. The host is enthusiastic without becoming credulous, and technical jargon tends to be followed by a concrete example or a plain-language check. Marimo Pair - A Canvas for Agent + Developers Collaboration sits squarely in the human-and-agent workspace. AI Contributions and Maintainer Load in Open Source widens the frame to the people who must review, support, and live with generated contributions.

The Changelog: Software Development, Open Source is warmer and more meandering. Its interview episodes give builders time to tell the long version, while its co-host formats leave room for disagreement, jokes, and the kind of side road that eventually reveals the real engineering concern. Selling SDKs in the era of many Claudes (Interview) approaches the tool shift through the SDK business. Building the machine that builds the machine (Interview) is the natural follow-up when your interest moves from using the tool to constructing the surrounding system.

ShopTalk Show is the scruffier listen: two web developers working through ideas in public, abandoning sentences, complaining mildly, and dragging an abstract tooling problem back to a browser or CSS example. Its recent episode titles are all Untitled, so discovery here is less about selecting a headline and more about choosing the show’s loose, peer-to-peer style. It works best when you want shop-floor conversation rather than a formal tour of an AI stack.

When the conversation gets personal

Changelog & Friends treats developer tooling as a story about communities and the people inside them. The hosts are technically fluent, happy to digress, and willing to let a guest’s account breathe before extracting the lesson. A new direction for AI developer tooling is the direct on-ramp. From there, npm under siege (what to do about it) and Git with your friends (remastered) pull attention back toward the shared infrastructure and habits that still surround AI-assisted work.

That human emphasis matters because coding tools do not arrive in isolation. They enter teams with review customs, maintenance burdens, security expectations, and strong opinions about what counts as good work. The best episodes leave those tensions intact.

Nearby listening

Step up to Artificial Intelligence once the question widens from tools to models, policy, and the companies shaping the field. When autonomous behavior matters more than the editor or development workflow, head to AI Agents instead. Software Engineering with AI goes deeper on how teams build and maintain software with these systems, while AI Infrastructure follows the serving, observability, and platform layer beneath them.

Where to start

Begin with The InfoQ Podcast’s From MCP and Vibe Coding to Harness Engineering: How Did AI Native Engineering Evolve in One Year for the field’s changing engineering frame. Choose Talk Python To Me’s Marimo Pair - A Canvas for Agent + Developers Collaboration for a concrete developer workspace. Try The Stack Overflow Podcast’s Building an agentic SDLC with a QA engineering mindset for process and review. If you prefer a more conversational entry, Changelog & Friends’ A new direction for AI developer tooling is the easiest door in.

Featured shows below are part of the PlayNext catalog. Updated weekly.

Featured shows

11 shows, described rather than listed

A short write-up for each, plus the job it does in this guide.

developer pulse
The Stack Overflow Podcast

Working-developer pulse on AI tooling. 'After all the hype, was 2025 really the year of AI agents?', 'AI-assisted coding needs more than vibes; it needs containers and sandboxes,' 'Prevent agentic identity theft,' 'The messy truth of your AI strategies.' Pushes back where other shows let the hype through.

engineering depth
Software Engineering Daily

Longer-form interviews on AI dev tooling. Yechezkel Rabinovich on 'Engineering in the Age of Agents,' Kai Maetzel on 'VS Code and Agentic Development,' Steve Yegge on 'Gas Town, Beads, and the Rise of Agentic Development.'

architecture
The InfoQ Podcast

Architecture- and SRE-side coverage. Context engineering, agent-system reliability, what production looks like once a model is in the loop.

open source
The Changelog: Software Development, Open Source

Adam Stacoviak and Jerod Santo on the open-source AI dev-tooling ecosystem. 'Astral has been acquired by OpenAI,' 'The mythical agent-month,' 'Opus 4.5 changed everything.'

open source
Changelog & Friends

Companion show with looser format. 'A new direction for AI developer tooling' is a recent representative entry.

language stack
Talk Python To Me

Michael Kennedy on the Python end of AI dev tools. 'Deep Agents: LangChain's SDK,' 'Agentic AI Programming with Python,' 'Red Teaming LLMs and GenAI with PyRIT,' 'Building Data Science with Foundation LLM Models,' 'Python apps with LLM building blocks.'

front end
ShopTalk Show

Chris Coyier and Dave Rupert on the front-end side of the AI conversation — CSS, accessibility, the React ecosystem. AI surfaces when those tools change shape.

apple
Accidental Tech Podcast

Marco Arment, Casey Liss, John Siracusa on the Apple end of AI dev tooling — Xcode AI features, on-device inference, Apple Intelligence.

apple
The Talk Show With John Gruber

John Gruber's long-form Apple-ecosystem interviews, which now include AI conversations as one beat among several.

apple
Mac Power Users

David Sparks and Stephen Hackett on AI in the Mac and iOS power-user workflow. 'The Robot Assistant Field Guide' is a representative recent entry on consumer-side AI assistants.

apple
Connected

Federico Viticci, Stephen Hackett, Myke Hurley on the Apple-ecosystem side of AI tooling — iOS, iPad workflows, on-device inference.

Where to start

4 routes in, one per reader

01If you ship codeStarts with The Stack Overflow Podcast

Working-developer pulse with healthy skepticism — better signal than the vendor podcasts.

02If you want the engineering-depth interviewsStarts with Software Engineering Daily

Recent run with Steve Yegge, Yechezkel Rabinovich, Kai Maetzel, and Gideon Mendels covers agentic engineering as a working discipline.

03If your stack is PythonStarts with Talk Python To Me

Michael Kennedy's run on Deep Agents, LangChain, PyRIT, and the Python LLM stack covers the territory better than any other show in the corpus.

04If your stack is AppleStarts with Accidental Tech Podcast

ATP plus The Talk Show With John Gruber, Mac Power Users, and Connected together cover the deliberately understated Apple AI rollout from multiple angles.

Glossary

Terms worth knowing before you listen

Coding assistant

An AI tool that augments a developer keystroke by keystroke — Copilot, Cursor's tab-complete, IDE-integrated suggestions. Distinct from a coding agent.

Coding agent

An autonomous-or-semi-autonomous coding system that takes a goal (a ticket, a refactor, a bug fix) and runs a planning-execution loop. Devin and the agentic IDE category sit here.

Tool use

An LLM calling external functions — running tests, executing code, browsing files. The substrate of every coding agent.

Model Context Protocol

A standard for how AI tools share state, context, and external resources with models. Increasingly load-bearing in the dev-tools agent space; under-covered in podcasts past announcement level.