yishu (@yishusee) header
yishu (@yishusee) profile picture

(as foretold) I might spend too much time on board games

Singapore
Joined March 2009
Got my personal vibecoded projects ready for open sourcing this weekend, and I'm pretty happy using them everyday
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3. Juniper Personal information diet (archive), for reading, for highlighting, for writing down your thoughts github.com/yishus/juniper
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It's interesting how everyone is reaching the same ideas at the same time
I'm now building an "improvements" feature into all of my personal vibecoded applications: a freeform text input that's hooked up to an agent that yolo implements whatever is submitted. It's an interesting experience -- the activation energy barrier to sanding any rough edge or implementing any new feature becomes extremely low. Someone else who uses one of the applications I created has already implemented 150 improvements over the course of a few days. This pattern feels like a new kind of tool -- liquid software? -- and every application that doesn't have this feature now has a slightly rigid and anachronistic flavor. Why can't I just tell it how I want it to be different? Now, it's not obvious to me how this pattern can or should scale. Does it become unmaintainable after a while? (Maybe model intelligence improvement outstrips my feature appetite such that it's fine?) How does collaborative software work in this model? Can software designed this way be secure and reliable? Whatever the larger questions about broader deployment, it definitely works great in a personal context. It reminds me a little of the visions of Lisp/Lisp machines, Smalltalk, and HyperCard -- systems that the user can take control of and modify. Those visions never quite worked, though: the vast majority of software today is not end-user modifiable in any useful way. So, while this "liquid" affordance is a very small touch, the way it changes one's relation to the software feels a bit transgressive and empowering in a Lickliderian and Engelbartian way.
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Incidentally where most of the thinking/experimenting of scaling impact vs effort happen
There's a reason I'm telling people that there's potential in FDE - even when most devs assume this is some kind of low-prestige, low-pay, Solutions Engineer role It's not, when it's an AI FDE, where you could get 4 years' of experience in 1. YMMV as usual
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yishu retweeted
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I'm 2% funnier on dev-null
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Just one more, for old times sake
one day you wrote console.log("here") for the last time and didn't even know it
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I was/am debugging reasoning leak and can’t go on as it immediately flagged abuse
OpenCode is currently under a sustained cyberattack, and mid-incident they ran into the same problem Hugging Face did: the frontier models they were using for defense began refusing to help fight attacking agents because analyzing the attacks started triggering safety guardrails.
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Building software for just my friends and I is great
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I'm still in the stage of building apps that I wished I have a version of. So now I also have a read later app and a journal app
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Now I’m on to building a personal agent
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My dear friends, I’d like to show you my latest toy project Introducing Handwired: turn your regular JavaScript code into a neural net! - no training - exact outputs vs the JS program - fully differentiable All runnable in a browser, without GPU
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Agency~~~ in the tune of Into the Woods’ Agony
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msia oomfs having online class meanwhile singapore "no unless it hits 300 everyone needs to go! ministry of health? never heard of her! who cares about ur lungs and asthma, we need to suck up to white corporate men! majulah!!" then our healthcare communications crashed yesterday
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The kind of debugging I’m doing now is figuring out why an agent is misbehaving. And my current favourite is the stubborn giving up because it tried something once and that didn’t work
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I mean me too? The tool rejected me one time what is to say it wouldn't again
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My special skill is being really good at writing CSS in the years 2012-2014
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Hardly an API, maybe a muse
I'm the API between Claude and my manager
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