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memjay

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投稿

Cal.com is going closed source

cal.com
8 ポイント·投稿者 memjay·3 か月前·0 コメント

コメント

memjay
·12 日前·議論
Not a single screenshot on this AI generated webpage but huge buttons to pay money.
memjay
·12 日前·議論
Not only hotels. I recently moved and had to endure skipping many AI-generated apartments posted to common platforms for finding new apartments.

At least some of them had an "ai generated" tag.
memjay
·12 日前·議論
Agree. Systems like shadcn accelerated this moving towards sameness a lot.
memjay
·12 日前·議論
Do you have a good example of a website that does not follow flat design that you like?
memjay
·12 日前·議論
You are right, it feels like clickbait for blog posts / articles.

And once you notice the bait (via telltale signs) you feel betrayed. Betrayed for your attention, thoughts and time.
memjay
·12 日前·議論
Do you have tips on how to get better at design, now that everything looks like the same AI-slop online?

Like how do you come up with a cohesive looking set of components for example? I use design tokens but they are not enough to get to a coherent design where components look like they belong together and kind of stand out from other designs.
memjay
·12 日前·議論
Reading this hurt so much. Please just write articles by hand. I don’t care about perfect grammar and I don’t care about your article sounding „native“ or not.

But I do care about not having to read the word „genuinely“ a hundred times just because Claude likes it so much.
memjay
·2 か月前·議論
We decided not to go with Python/JS to make executing safe and simple.

The data structure is a recursive list of simple objects that form a table of content.

DSL uses Python syntax though. For example:

swap_section(a, b) create_section(after=2) delete_section(2)

This proved to safe a ton of explanatory prompts that would be needed if every command was a tool instead. And it’s faster and more reliable.
memjay
·2 か月前·議論
This has been our experience as well. Initially we had a list of tools that the agent could use to manipulate a data structure in certain ways. This approach was quite brittle. Now we are using a small DSL (domain specific language) and a single tool where the agent can input scripts written in the DSL. We are getting more dynamic use-cases now and wrong syntax can easily be catched by the parser and relayed to the agent.
memjay
·3 か月前·議論
> Not x — but y.

Am I the only one who feels a bit betrayed after reading LLM text? I am not even willing to try out the app after I notice… which is a shame.

At least polishing the obvious parts would help a lot and is not that much work.
memjay
·3 か月前·議論
Because a URL shortener is a one-line prompt today.

You will have to put a lot of effort and attention to detail to make a one-line prompt more worth than it is on its own.

Not sure whether that happened here though.
memjay
·3 か月前·議論
Why do all of these similar looking websites have weird broken left to right scrolling on mobile?
memjay
·3 か月前·議論
In addition to your experience I notice that through AI contributions our team reaches sprint goals way too early and PMs aren’t catching up with creating new tasks.

Did you notice a significant decrease in delivery speed (including debugging, fixing stuff in AI contributions)?

I wonder whether reducing AI usage might even help with cognitive load. The last few months I felt increasingly exhausted after pushing through PR after PR (although it is quite fun to do this on personal projects).