i came across one of the most important posts i've seen recently.
yesterday the CEO of Linear posted this and it's something that's being ignored during the current AI hype for some reason.
a lot of companies are posting online and flexing that they're writing every line of code with AI, or they haven't opened an IDE in 3 months, or they burned $10k of tokens in 1 month.
users do not care about any of this, they just care if the app works well and solves their problem, that's literally it.
we need to shift the focus back from flexing AI usage to flexing a product instead.
@mburns83@Perpetualmaniac Good point! It seems that they broke some key good practices of testing and not releasing important changes on Friday, this is all basic for delivering software to production
Back in 2019, I wrote about anti-patterns of microservice architecture adoption that I observed at numerous companies around the world.
Sadly, based on recent conversations, it appears that many companies are still making the same mistakes.
OpenJDK reverts to Serial GC when it detects less than 2 CPUs or less than 2GB RAM.
Keep this in mind when containerizing 🐳 and migrating Java applications to Kubernetes ☸️.
JDK source code for this logic: https://t.co/93sHBZtfki
Por 40 USD (aprox. 200 reais) ano você, brasileiro, consegue acesso a todo acervo online da O'Reilly: https://t.co/QKud1XSu4K. Basta se cadastrar na ACM (Association for Computing Machinery) na modalidade "Special rates for Professionals in economically developing countries" 👇🏻
"I want to be remembered as this person who helped other people find out how to be better than they currently are." @kelseyhightower May I get this quote lended from you. I really appreciated your story told at @protocol
@rennerocha Eu estou, porém com o propósito de me certificar em uma linguagem de blockchain baseada em Haskell chamada DAML. Talvez se eu aprendesse Haskell antes de qualquer outra linguagem tudo seria mais fácil...