Changelog Master Feed

En podcast af Changelog Media

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2150 Episoder

  1. Production data labeling workflows (Practical AI #195)

    Udgivet: 27.9.2022
  2. Firefox supports blockers, NATS is great, Uber's MFA fatigue, OAuth2 drawn in cute shapes & an aging programmer (Changelog News #14)

    Udgivet: 26.9.2022
  3. Product development structures as systems (Changelog Interviews #507)

    Udgivet: 23.9.2022
  4. The spicy React debate show 🌶️ (JS Party #244)

    Udgivet: 23.9.2022
  5. Engineering interview tips & tricks (Go Time #248)

    Udgivet: 22.9.2022
  6. Modern Software Engineering (Ship It! #71)

    Udgivet: 21.9.2022
  7. Evaluating models without test data (Practical AI #194)

    Udgivet: 20.9.2022
  8. Ladybird, how QR codes work, GitUI, software vs systems & Stable Diffusion ported to Tensorflow (Changelog News #13)

    Udgivet: 19.9.2022
  9. Stable Diffusion breaks the internet (Changelog Interviews #506)

    Udgivet: 16.9.2022
  10. Smile! HTML can access your camera (JS Party #243)

    Udgivet: 16.9.2022
  11. Stay agile out there (Go Time #247)

    Udgivet: 15.9.2022
  12. Kaizen! Four PRs, one big feature (Ship It! #70)

    Udgivet: 14.9.2022
  13. Stable Diffusion (Practical AI #193)

    Udgivet: 13.9.2022
  14. Quality is systemic, React is a self-fulfilling prophecy, Difftastic, Devbox & the shortest URLs on the web (Changelog News #12)

    Udgivet: 12.9.2022
  15. Typesense is truly open source search (Changelog Interviews #505)

    Udgivet: 9.9.2022
  16. Seth Godin is the new Mark Twain (JS Party #242)

    Udgivet: 9.9.2022
  17. Avoiding bloat (Go Time #246)

    Udgivet: 8.9.2022
  18. The cloud native ecosystem (Ship It! #69)

    Udgivet: 8.9.2022
  19. Licensing & automating creativity (Practical AI #192)

    Udgivet: 6.9.2022
  20. Python's :=, email falsehoods, no more self-hosting & Leon (Changelog News #11)

    Udgivet: 6.9.2022

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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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