The best AI podcasts for developers are Built This Week, Latent Space, Practical AI, The TWIML AI Podcast, Gradient Dissent, The Cognitive Revolution, Dwarkesh Podcast and Lex Fridman Podcast. Start with Latent Space if you build with LLMs every day, TWIML or Gradient Dissent if your work leans toward ML, and Built This Week if you want to see AI coding tools used on real projects each week.
Built This Week is our show, so we put it first; here's how we picked the rest.
Built This Week is hosted by Jordan Metzner and Sam Nadler, co-founders of Ryz Labs, weekly since June 2025, with 53 episodes so far. Each episode we build something with AI on air, test new AI tools, interview a founder or operator, and cover AI news, in about 21-28 minutes. For developers, the value is seeing coding agents used on real internal tools and hearing what broke, not a polished demo.
See how we compare tools in Claude Code vs OpenAI Codex and Claude Code vs Cursor, or look at a build like the candidate highlight reel builder, made with Remotion.
Start with: Episode 51: It Ships While You Sleep (September 2026), where David Petrou shows an agentic development operating system that splits work across coding agents. See all episodes.
Latent Space calls itself a podcast "by and for AI engineers." It is led by swyx with co-hosts Alessio and Vibhu and publishes one to two episodes a week: builder interviews plus news and paper discussion on foundation models, code generation, agents and GPU infrastructure. Episodes typically run 69-101 minutes. If you ship LLM features for a living, this is the most directly relevant show on the list.
Start with: Claude Code’s Next Era — Thariq Shihipar, Anthropic (September 2026). Read our full profile of Latent Space: The AI Engineer Podcast.
Daniel Whitenack and Chris Benson have hosted Practical AI weekly since 2018. The show mixes host discussions with guest interviews about making AI practical, productive and accessible, with an emphasis on real-world implementations across ML, MLOps and LLMs. Episodes run about 45-50 minutes, a good length for a commute, and the show is rated 4.3 out of 5 from 199 ratings on Apple Podcasts, as of October 2026.
Start with: Hermes Agent: Agents that grow with you (May 2026). Read our full profile of Practical AI.
Sam Charrington has hosted TWIML (formerly This Week in Machine Learning & AI) since 2016. It publishes roughly every one to two weeks, with interviews of ML and AI researchers and practitioners on machine learning, deep learning, NLP and applied AI. Episodes typically run 55-66 minutes. It suits ML researchers, data scientists and engineers who want technical interviews; it is rated 4.7 out of 5 from 426 ratings on Apple Podcasts, as of October 2026.
Start with: How OpenAI Builds AI Agents That Think and Act with Josh Tobin (May 2025). Read our full profile of The TWIML AI Podcast.
Gradient Dissent is produced by Weights & Biases, and its founder Lukas Biewald interviews AI leaders and practitioners about the newest work in AI and about bringing models into production. New episodes arrive roughly every two to four weeks and typically run 50-68 minutes. It is a strong pick for ML engineers and AI leaders who care about production ML and AI infrastructure.
Start with: Inside Cursor: The future of AI coding with Co-founder Sualeh Asif (April 2025). Read our full profile of Gradient Dissent.
Nathan Labenz interviews AI builders and researchers about twice a week and adds "AI Scouting Reports" and news segments on AI's near-term impact. Episodes are long, typically 102-141 minutes, which leaves room for detail on capabilities, safety and policy. Developers who want to understand what the models can do now, beyond their own stack, will get a lot from it.
Start with: Calm AI for Crazy Days: Inside Granola's Design Philosophy, with co-founder Sam Stephenson (April 2026). Read our full profile of The Cognitive Revolution.
Dwarkesh Patel's deeply researched interviews focus on AI, science and history, including many frontier-lab leaders and AI researchers. It publishes roughly weekly to every few weeks, and episodes typically run 76-133 minutes. It is less about tools and more about where the models are heading, which is useful context for anyone building on them.
Start with: Andrej Karpathy — AGI is still a decade away (October 2025). Read our full profile of Dwarkesh Podcast.
Lex Fridman's independent show covers AI, programming, science and much more through very long conversations, typically 174-280 minutes, released about every two to three weeks recently. AI and programming are recurring topics, and guests include prominent AI researchers and founders. It is for developers who enjoy a multi-hour conversation; it is rated 4.7 out of 5 from 12.2K ratings on Apple Podcasts, as of October 2026.
Start with: #447 – Cursor Team: Future of Programming with AI (October 2024). Read our full profile of Lex Fridman Podcast.
Want more research than tooling? See our list of the best machine learning podcasts, or browse the full list of the best AI podcasts.
Latent Space is made 'by and for AI engineers' and covers foundation models, code generation, agents and GPU infrastructure. Practical AI and The TWIML AI Podcast are strong picks if you want implementation and ML depth.
Yes. Latent Space and Lenny's Podcast have both interviewed people from the Claude Code team, Lex Fridman and Gradient Dissent have episodes with the Cursor team, and on Built This Week we compare Claude Code, Cursor and OpenAI Codex on our own builds.
Gradient Dissent, hosted by Weights & Biases founder Lukas Biewald, focuses on AI leaders and practitioners bringing models into production. The TWIML AI Podcast covers applied machine learning research with practitioners.
