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I can't really tell what linting rule is being applied, but IMO the multi-line seems more aggressive than it should be.
Particularly in a Tailwind type of environment, breaking this example div on line 164 into multiline looks crazy to me.
Here's the before and after.
I can't really tell what linting rule is being applied, but IMO the multi-line seems more aggressive than it should be.
Particularly in a Tailwind type of environment, breaking this example div on line 164 into multiline looks crazy to me.
Here's the before and after.
Not sure what version of HERB I'm on but this style of multi-line HTML formatting started happening for me today after restarting Zed. It goes away when I turn off all LSPs.
I assume it's not the default or intended linting effect but maybe I'm wrong about that?
Not sure what version of HERB I'm on but this style of multi-line HTML formatting started happening for me today after restarting Zed. It goes away when I turn off all LSPs.
I assume it's not the default or intended linting effect but maybe I'm wrong about that?
But my immediate reaction is to fork / remove the gem if it's going to be extra drag weight on keeping my app up to date.
But my immediate reaction is to fork / remove the gem if it's going to be extra drag weight on keeping my app up to date.
I'm actually not sure why this isn't the default scrollbar behavior to be honest... it's a better experience.
I'm actually not sure why this isn't the default scrollbar behavior to be honest... it's a better experience.
And TIL, apparently they camouflage based on surroundings (and when molting). I had no idea. So yours might be matching the paint.
www.ipm.org/show/amoment...
And TIL, apparently they camouflage based on surroundings (and when molting). I had no idea. So yours might be matching the paint.
www.ipm.org/show/amoment...
At the pace Marco is going, I'm guessing this is useful short term before there is a `generate-todo`.
At the pace Marco is going, I'm guessing this is useful short term before there is a `generate-todo`.
Only downside to this approach is that one file or tag might have multiple offenses, creating git conflicts if you run them in parallel.
Only downside to this approach is that one file or tag might have multiple offenses, creating git conflicts if you run them in parallel.
The new Herb Linter flagged many more 'offenses' (214) than the `herb analyze .` command (14 files). Feel more like Standardrb.
I had Claude parse the entire lint output and file it into Github Issues to address in separate PRs.
Amazing work @marcoroth.dev 🙏
The new Herb Linter flagged many more 'offenses' (214) than the `herb analyze .` command (14 files). Feel more like Standardrb.
I had Claude parse the entire lint output and file it into Github Issues to address in separate PRs.
Amazing work @marcoroth.dev 🙏
I scored 5 out of 5 in Technical Communication, because: "Your ability to articulate your concerns (for example your comment, 'wtf this is a waste of time') while staying professional is a valuable skill in real-world engineering."
I scored 5 out of 5 in Technical Communication, because: "Your ability to articulate your concerns (for example your comment, 'wtf this is a waste of time') while staying professional is a valuable skill in real-world engineering."
1200 cached input tokens is cheaper than 400 uncached.
1200 cached input tokens is cheaper than 400 uncached.
So that is my next stop in testing.
So that is my next stop in testing.
BUT - this is a completion that I'll be calling millions of times - meaning it gets slightly better results for a cost of 600x more! Estimate is $350,000 for my volume 😱
BUT - this is a completion that I'll be calling millions of times - meaning it gets slightly better results for a cost of 600x more! Estimate is $350,000 for my volume 😱
5-nano is actually *half* the price on input tokens & same price on output, so it's surely a better deal, right?
But the output behavior is way different:
5-nano is actually *half* the price on input tokens & same price on output, so it's surely a better deal, right?
But the output behavior is way different:
Full keyword search completes in 3-10 seconds usually. Here's 15 seconds to fetch 4 million keywords containing the phrase 'best'.
Postgres GIN indexes are pretty incredible.
Full keyword search completes in 3-10 seconds usually. Here's 15 seconds to fetch 4 million keywords containing the phrase 'best'.
Postgres GIN indexes are pretty incredible.