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@vrypan.eth

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This is something I've been building for the last couple of weeks. The idea is a personalized feed of 100 casts selected every day, based on casts (and replies) from your follows. It works for me, it may work for you too, but I'm not sure it's ready for prod yet. I wanted to wait and get more feedback from people I shared it privately, but... why wait? Even if a handful of people sign up, their feedback, as paying users, will be really valuable. So, if you expect a super-polished product, wait. At least wait to hear what others will say about it. But if you're ok paying $3 to try something still in beta, please do! And share unfiltered feedback (after all, you are a customer). (Side note on feedback: The worst thing you can do to someone working on a product is to tell them it's great when you know you won't buy/renew. Share your unfiltered thoughts.)
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I think that many of the problems devs face when coding with LLMs can be traced back to the context window. My uneducated guess is what we usually describe as "when the code gets complex, the LLM starts breaking things" is because the agent can't fit the whole code in its context, and it has not good way to decide what is the right context to use in order to do what we ask it to do. Do you think we will see LLM-friendly or LLM-optimized programming languages? What would they look like? For example, humans break down their code to packages and libraries, etc. in order to manage and maintain it more efficiently. Would an LLM-optimized language do something similar but try to break down code in units that fit in a context window? Maybe designed so that the source code requires fewer tokens (even if it's not human-friendly)? Or have a way to efficiently "summarize" the functionality (api/interface) of a code unit so that it can use it in other units efficiently? Are there any projects working on something like this?
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