"docu is the new src code, agent is the new compiler"
这句太有启发了!
以前:Src Code -> Compiler -> Executable
现在:Document -> Agent -> Business Logic
You know what?
Somewhere beyond this world, there's another world. A ocean that isn't made of water, but of light and color. Floating on its surface are countless islands. Every person has an island of their own.
But here's the thing...
in the age of ai, the question everyone's asking is "will i be replaced?"
the real question is: do you know yourself well enough to become irreplaceable?
everyone's getting access to the same models. same tools. with growing capabilities. the playing field is leveling fast.
but here's the thing: Cursor doesn't think for you. it amplifies you.
it takes your agency – your unique way of seeing problems, your taste, your judgment, your weird specific obsessions – and scales it 100x.
it takes your strengths – the things only you are uniquely good at, the perspectives only you have from your specific life path – and makes them exponentially more powerful.
the humans who win in this era aren't the ones with the best prompts or the most tokens. they're the ones who know themselves deeply. who have conviction about their unique point of view. who've done the hard work of figuring out what only they can do.
ai is a mirror and a multiplier. if you're generic, it makes you more generic. if you're exceptional and know your strengths, it makes you unstoppable.
your agency + your strengths + ai = where you become 100x more valuable and powerful.
the question isn't whether to use tools like Cursor. it's whether you believe in your own agency enough to use it right.
the humans who deeply know who they are, what they believe, and what they're uniquely great at – those are the ones who'll build the future.
find your way. lean into your strengths. believe in human agency.
then let Cursor amplify the hell out of it.
curl https://t.co/0iNSUvqigB This is our Meta-Prompt. It allows LLMs to understand our Reader, Embeddings, Reranker, and Classifier APIs for improved codegen. Using the meta-prompt is straightforward. Just copy the prompt into your preferred LLM interface like ChatGPT, Claude, or whatever works for you, add your instructions, and you're set. In this example, we copied the entire prompt into Anthropic Claude and asked it to grab every sentence from Hacker News front page and visualize them using UMAP with matplotlib. This task is nontrivial as it combines multiple APIs from our Search Foundation, like Reader and Embedding where Claude may not have knowledge of. So if you asked Claude directly, it probably wouldn't give an optimal answer. But with the meta-prompt, Claude now has good knowledge about our APIs and can generate much better code! We can copy paste the code directly to Google Colab and with minimum modification, the code just works!