2308 Episodes

  1. Loggregator, gRPC, Diodes (Go Time #61)

    Published: 25/11/2017
  2. Open Source History, Foundations, Sustainability (Request For Commits #16)

    Published: 22/11/2017
  3. The History of GNOME, Mono, and Xamarin (Changelog Interviews #275)

    Published: 21/11/2017
  4. Faktory and the future of background jobs (Changelog Interviews #274)

    Published: 18/11/2017
  5. Why WADL When You Can Swagger? (Go Time #60)

    Published: 17/11/2017
  6. Improved Improved Improved (i3) (Go Time #59)

    Published: 10/11/2017
  7. Data Science at OSCON (Changelog Interviews #273)

    Published: 10/11/2017
  8. Functional CSS and Tachyons (Changelog Interviews #272)

    Published: 10/11/2017
  9. My roadmap to become a blockchain engineer (Changelog Interviews #271)

    Published: 8/11/2017
  10. Rails as a day job, Diesel on the side (Changelog Interviews #270)

    Published: 4/11/2017
  11. Full-time Open Source (Go Time #58)

    Published: 3/11/2017
  12. Bisq, the decentralized Bitcoin exchange (Changelog Interviews #269)

    Published: 3/11/2017
  13. Maintaining a Popular Project and Managing Burnout (Request For Commits #15)

    Published: 1/11/2017
  14. Operação Serenata de Amor (Artificial Intelligence, Data Science, Government Corruption 😱) (Changelog Interviews #268)

    Published: 31/10/2017
  15. Functional Programming (Changelog Interviews #267)

    Published: 28/10/2017
  16. Documentation and Quitting Open Source (Request For Commits #14)

    Published: 20/10/2017
  17. The Future of RethinkDB (Changelog Interviews #266)

    Published: 17/10/2017
  18. The Kotlin Programming Language (Changelog Interviews #265)

    Published: 13/10/2017
  19. Automating GitHub with Probot (Changelog Interviews #264)

    Published: 6/10/2017
  20. Conversations about sustaining open source (Changelog Interviews #263)

    Published: 22/09/2017

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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.

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