melvinroest
Joined 7 years ago
Joined 7 years ago
But I created a set of amazing binoculars with automatic AI age detection via radar for the small friendly price of 39.49$. Looking for a bird watcher? Get the SilentBirdWatchDectector 3000 and slow your cognitive decline at double the rate.
Don't watch the birds, watch the bird watchers instead. They may do something interesting.
(I'll see myself out...)
So I find the whole spec-driven development hype odd. I much rather vibe code an app, use that as a spec and then start anew to create the real thing. I haven't fully figured out yet what the best mode is there. So far I'm mostly hand coding it, thinking a lot about trade offs and I have an LLM read the full codebase of the vibe coded prototype and what I'm hand coding, so that I can ask very specific questions about how certain data flows or certain small things that I'm missing.
To me, this way of working is working great. You go from proving that an app provides value to your users through vibecoding through then productionizing it so you can capture all the users that this would be valuable to. It is of course important to sample your users correctly, such that they are a representative sample of your user population but since I do this within organizations usually and the apps are internal, that's usually an easy thing to do.
It was a funny moment where she was like "you have perfect pitch!" "What is perfect pitch?"
I guess it's a shame, I could've been a great musician if I was trained.
In any case, if you want to meet up online, my email is in my profile. You sound fun!
I know people in both camps. I have more respect for English speakers learning Dutch than for Dutch speakers learning English. Even though I respect both. But the simple truth is: there's a lot of incentive to learn English. There is not a lot of incentive to learn Dutch.
I remember that I wanted a visual step by step debugger for a visualization library [1]. I was lucky enough to find the library maintainer himself. He liked the idea, and within just 30 to 60 minutes we programmed a prototype in (this was around ChatGPT 3.5, so pure hand coding).
Most of my thoughts are things that other people have come up with as well. Aka it feels like I'm just predicting the next token based on the data that I already have.
It's only when I go to places such as "what if life at the speed of light is possible, what would that look like?" that I get to places I personally find somewhat novel. It's almost a different dimension for these guys of course since a million years can feel like 10 years to them. Yet, they're moving so fast, but time-wise they move so slow, maybe even too slow for us to understand that anything can be alive at that speed (I'm not claiming there's life at light speed by the way, I just think it's fun to imagine that there is).
For web apps, WebMCP is a way where you can make a frontend way more discoverable to an LLM rather than that it is going to read all your code. I sometimes create this in my apps at home and sometimes in my apps at work and it makes LLM assistants way more usable. It also helps if they can highlight certain things of a visual.
We humans can do this too on paper. We can point at something, we can highlight something with a marker. Why not give an LLM these capabilities as well?
Quite drastic to move away from a country for just this. Did you only do it for just this? Or was this simply one of the factors why you moved away?
melvinroest <the fancy a> <Google's email brand> <the most popular TLD in the world>
Some hints are gmail, @ and .com ;-)
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Random HN'ers are always welcome to join, feel free to email me!
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AI engineer, security enthusiast, product engineer and marketing (data) analyst.