sure, there's a lot of compliance/legal concerns, but AI is probably already better at reading all the relevant information and encoding that into a system than humans.

I don't think a non-technical person is going to one-shot it, but a technical person could today. The biggest issue would be marketing and maintenance (companies aren't going to buy from a single random person who might abandon the project at a moment's notice)

i like the idea of having an actual document because you could actually compare the before and after versions if you wanted to confirm things changed as intended when you gave feedback

if you really want to sell it, you should probably make sure that you have customers willing to pay, which means talking to potential customers and getting them on a waitlist. i think it's usually more likely that other people don't care about your software like you do (because you built it to be exactly what you want and know how it works) and even then, aren't willing to pay to use it (or pay very much)

if you're not very concerned about making money and mostly just want something nice for yourself that other people _might_ care about, then sure, go for it! i build software like that all the time

but also I think the interesting thing is that people didn't jump on MCP immediately after it launched - it seemed to go almost unnoticed until February. Very unusual for AI tech - I guess it took time for servers to get built, clients to support the protocol, and for the protocol itself to go through a few revisions before people really understood the value.

I wonder what the optimal form factor is. Like what if your AI could /suggest/ connecting with some service? Like your AI is browsing a site and can discover the "official" MCP server (like via llms.txt). It then shows a prompt to the user - "can I access your data via X provider?". you click "yes", then it does the OAuth redirect and can immediately access the necessary tools. Also being able to give specific permissions via the OAuth flow would be really nice.

LLMs seem pretty good at figuring out these things when given a good feedback loop, and if the DSL truly makes complex programs easier to express, then LLMs could benefit from it too. Fewer lines of code can mean less context to write the program and understand it. But it has to be a good DSL and I wouldn't be surprised if many are just not worth it.

Like, oil is insanely caloric and can accidentally add hundreds of calories, but it's nearly impossible to eat too many greens.

Once you learn this, then the tracking is just to keep you honest - your brain knows what to do but it lies to you when it wants to bend the rules and those little cheats add up enough to throw off the whole diet.

Comments URL: https://news.ycombinator.com/item?id=44008215

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I spent a bunch of time in my 20s and early 30s trying out different organizational systems but I realized I just don't care. I care about doing interesting things, not organizing them.

Also computers are pretty good at full-text searching for things, or tagging so you don't have to come up with a perfect hierarchy. And I think LLMs will make it even easier to find stuff using fuzzy language.

Life's too short to spend it organizing.