TinyLetter shut down by Mailchimp, so I built the letterdrop
1–10 of 105 posts
Re: TinyLetter shut down by Mailchimp, so I built the letterdrop
#2[deleted]
Re: TinyLetter shut down by Mailchimp, so I built the letterdrop
#3"I used the GPT-4o model to generate the code for LetterDrop. That means the code is generated by the AI model, and I only need to provide the prompts to the model. This approach is very efficient and can save a lot of time. I've also recorded a video to show how to create the LetterDrop project using the GPT-4o model.
That also means you can easily customize the code by changing the prompts. You can find the prompts in the CDDR file."
???????
Re: TinyLetter shut down by Mailchimp, so I built the letterdrop
#4"I used the GPT-4o model to generate the code for LetterDrop. That means the code is generated by the AI model, and I only need to provide the prompts to the model. This approach is very efficient and can save a lot of time. I've also recorded a video to show how to create the LetterDrop project using the GPT-4o model. That also means you can easily customize the code by changing the prompts. You can find the prompts…
> ???????
Please clarify what ??????? means here? You’ll find us willing to hear out your point of view, but first you’ll have to provide it.
Re: TinyLetter shut down by Mailchimp, so I built the letterdrop
#5"I used the GPT-4o model to generate the code for LetterDrop. That means the code is generated by the AI model, and I only need to provide the prompts to the model. This approach is very efficient and can save a lot of time. I've also recorded a video to show how to create the LetterDrop project using the GPT-4o model. That also means you can easily customize the code by changing the prompts. You can find the prompts…
This is from the "How to contribute?" section in readme.
Personally, I found it unbelievable. The author think contribute should change the prompt instead of the code.. To my best knowledge, these kind of code generation are non deterministic. This make it impossible to audit for correctness.
Re: TinyLetter shut down by Mailchimp, so I built the letterdrop
#6"I used the GPT-4o model to generate the code for LetterDrop. That means the code is generated by the AI model, and I only need to provide the prompts to the model. This approach is very efficient and can save a lot of time. I've also recorded a video to show how to create the LetterDrop project using the GPT-4o model. That also means you can easily customize the code by changing the prompts. You can find the prompts…
This is from the "How to contribute?" section in readme. Personally, I found it unbelievable. The author think contribute should change the prompt instead of the code.. To my best knowledge, these kind of code generation are non deterministic. This make it impossible to audit for correctness.
I think code generation is, generally speaking, pretty awful, but contributing to an LLM prompt is kind of an interesting evolution of software design. With that said, I don't really think it saves a lot of time (the author's Youtube videos[1] are literally like 10+ hours of messing with prompts and copy-pasting code), whereas the product in itself isn't particularly complicated.
[1] https://www.youtube.com/playlist?list=PL21oMWN6Y7PCqSwbwesD4...
Re: TinyLetter shut down by Mailchimp, so I built the letterdrop
#7Earlier quoted context omitted.
This is from the "How to contribute?" section in readme. Personally, I found it unbelievable. The author think contribute should change the prompt instead of the code.. To my best knowledge, these kind of code generation are non deterministic. This make it impossible to audit for correctness.
I think code generation is, generally speaking, pretty awful, but contributing to an LLM prompt is kind of an interesting evolution of software design. With that said, I don't really think it saves a lot of time (the author's Youtube videos[1] are literally like 10+ hours of messing with prompts and copy-pasting code), whereas the product in itself isn't particularly complicated. [1] https://www.youtube.com/playlist?…
This is interesting as an experiment, but a awful way to do production code.
Re: TinyLetter shut down by Mailchimp, so I built the letterdrop
#8[deleted]
Re: TinyLetter shut down by Mailchimp, so I built the letterdrop
#9Earlier quoted context omitted.
This is from the "How to contribute?" section in readme. Personally, I found it unbelievable. The author think contribute should change the prompt instead of the code.. To my best knowledge, these kind of code generation are non deterministic. This make it impossible to audit for correctness.
I think code generation is, generally speaking, pretty awful, but contributing to an LLM prompt is kind of an interesting evolution of software design. With that said, I don't really think it saves a lot of time (the author's Youtube videos[1] are literally like 10+ hours of messing with prompts and copy-pasting code), whereas the product in itself isn't particularly complicated. [1] https://www.youtube.com/playlist?…
And the code is godawful. Just look at this mess for internationalization: https://github.com/i365dev/LetterDrop/blob/main/app%2Fsrc%2F... . The code is unmaintainable by a human - there is a ton of unnecessary duplication, a gigantic html string instead of something like tsx, etc etc. I don't know how the OP can trust this output - I certainly don't.
Re: TinyLetter shut down by Mailchimp, so I built the letterdrop
#10The fact that this whole project was generated by GPT without any human duration is... something. I don't know exactly what, but it was interesting enough to upvote.