How to Deliver Quality Software Against All Odds • Daniel Terhorst-North & Julian Wood • GOTO 2024

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  • Опубликовано: 27 янв 2025

Комментарии • 9

  • @GOTO-
    @GOTO-  2 месяца назад

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  • @quinnjones1221
    @quinnjones1221 2 месяца назад +1

    My man Roy at 4:51 yes!!! CI\CD, Metris and Testing talk to Roy on that topic.

  • @quinnjones1221
    @quinnjones1221 2 месяца назад +1

    15:58 I always wondered why we couldnt do this "go" method in C# with some kind of attribute VS having to write another and another test for the same subset of logic that I could have put into 1 unified test. Humm, it really is GO HA!

    • @vanthel
      @vanthel 2 месяца назад

      @@quinnjones1221 pretty sure this is the same concept as Assert Softly which is in many assertions libraries.

  • @Reashu
    @Reashu 3 дня назад

    17:55 "We have no idea why its 97 instead of 100"
    18:35 "I submitted one and left three unfinished"
    Oh, where *could* those three missing things be?

  • @quinnjones1221
    @quinnjones1221 2 месяца назад +2

    10.50 yes, you have to build your code based on the cost to run the code. Fat code will cost you a lot of $$$ in the cloud, so make it thin code. Ummm, there's your next topic title, "thin code"

    • @xtinctspecies
      @xtinctspecies 2 месяца назад

      @@quinnjones1221 we are fat shaming code now ?

  • @edgeeffect
    @edgeeffect 2 месяца назад

    Speaking as someone who doesn't currently have Dan's metaphorical "clean running water"... could the "clean running water" people keep talking about it please. ;)
    Oooh... thanks Dan, I'm rubbish at finishing my personal projects... now I can tell people "But look, Dan North is a brilliant programming-guru and HE never finishes anything, so I'm alright" ;)

  • @groovediggr8777
    @groovediggr8777 2 месяца назад +1

    Amazing talk - right up until he called X a dumpster fire as an offhand comment at the end. That company is objectively better than its history on all measures with, what, 20% of its former staff? Surprising comment for someone that otherwise is so data-driven. Perhaps an example for people of how unexamined biases and assumptions can creep in and affect judgment.