Changelog Master Feed

Un pódcast de Changelog Media

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2020 Episodo

  1. What it takes to scale engineering (Changelog Interviews #527)

    Publicado: 17/2/2023
  2. Web development's lost decade (JS Party #263)

    Publicado: 17/2/2023
  3. What's new in Go 1.20 (Go Time #267)

    Publicado: 16/2/2023
  4. Rust efficiencies at AWS scale (Ship It! #89)

    Publicado: 16/2/2023
  5. Serverless GPUs (Practical AI #211)

    Publicado: 14/2/2023
  6. Load testing a $4 VPS, TOML for .env files, counting unique visitors sans cookies, the Arc browser & a love letter to Deno (Changelog News #31)

    Publicado: 13/2/2023
  7. Git with your friends (Changelog Interviews #526)

    Publicado: 10/2/2023
  8. Generative AI for devs (JS Party #262)

    Publicado: 10/2/2023
  9. Is htmx the way to Go? (Go Time #266)

    Publicado: 9/2/2023
  10. MLOps is alive and well (Practical AI #210)

    Publicado: 7/2/2023
  11. OpenAI's new text classifier, teach yourself CS, programming philosophies are about state, you might not need Lodash & overrated scalability (Changelog News #30)

    Publicado: 6/2/2023
  12. Qwik has just the right amount of magic (JS Party #261)

    Publicado: 3/2/2023
  13. How to ace that CFP (Go Time #265)

    Publicado: 2/2/2023
  14. Treat ideas like cattle, not pets (Ship It! #88)

    Publicado: 2/2/2023
  15. 3D assets & simulation at NVIDIA (Practical AI #209)

    Publicado: 31/1/2023
  16. Data tool belts, Build Your Own Redis, the giscus comments system, prompt engineering shouldn't exist & ALPACA (Changelog News #29)

    Publicado: 30/1/2023
  17. Mainframes are still a big thing (Changelog Interviews #524)

    Publicado: 27/1/2023
  18. Long-term code maintenance (Go Time #264)

    Publicado: 27/1/2023
  19. Why we switched to serverless containers (Ship It! #87)

    Publicado: 26/1/2023
  20. GPU dev environments that just work (Practical AI #208)

    Publicado: 24/1/2023

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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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