238 karma · joined June 1, 2018
"Food coma" is from carbs/sugar. :)
Edit: to satisfy my friendly HN editors. :)
> Why?
To build fast. Our team knew Ruby well. Many of us worked at GitHub and trusted we could solve the problems ahead of us with it.
> Do you have trouble hiring?
No issues at all.
I don't think his message is that stretching "does nothing". It's more that, research has shown that combining stretching with strength (using the range of motion) is the way to create lasting change.
I was saying it came after, meaning GitHub could not have used it since it didn’t exist. :)
Definitely not normal. It’s hard to know why you’re seeing slow queries without more information.
The most common causes are either: missing indexes or network latency between the app and database (are they in the same region?).
We don’t have cold starts, but it is possible for queries to get faster once data is moved into memory. 3-4s is very slow though, I suspect it’s doing a full table scan and an index will solve it.
If you check Insights you can get more info, would also help to run an explain on the query (https://planetscale.com/courses/mysql-for-developers/queries...) to see what’s happening.
Also, if you email support, they’ll help debug it for you. Hope that helps!
Attributing some UI bugs with their choice of framework is a massive oversimplification of the problem.
I don't exactly agree that it's a design problem. I think there is a lot of value in testing at a high level (controller tests) and having them touch the full stack (down to the DB). Gives a lot of confidence that the code will work in production. Throwing money at it (running the tests in parallel) pretty much solves it.
I have seen FactoryBot use get out of control (creating 8x as many records as you'd expect). That's a really easy way to slow down a test suite :). One way I've found to fix that is by adding tests for the factories, and asserting they are only creating what you want them to.
On model tests, another thing GitHub did well was encourage using `.build` when possible to avoid writing the the DB.
In addition to that, the test suite performance was regularly monitored. And like any performance issue, we'd instrument and then fix issues as they came up.
https://help.github.com/en/actions/automating-your-workflow-...
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