
software should feel good to use. grants @bagelfund
Joined September 2021
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as taste shapes new trends, LLMs will copy them until those trends become the new 'slop' signal - which creates a need for newer trends, shaped by finer taste
perhaps this cycle could be a good thing, leading to faster, greater creative innovation in software design everywhere
convergence to the mean
when everyone looks at everyone else to decide what to make, we eventually stop making anything of our own.
we copy what works. borrow the language, the aesthetic, the features. we call it learning from the market, following best practices, staying competitive. together, everything starts to feel familiar. polished, interchangeable. nothing wrong. nothing alive.
the mean isn’t necessarily bad. it’s where everything lands when we remove the reasons for it to be different.
numbers are easier to compare than feelings, so we make things that produce numbers. we study what gets attention, then shape ourselves around it. eventually the feedback stops informing the work and starts authoring it. we’re no longer asking what we want to say. we’re asking what will be rewarded for saying.
ai makes this loop frictionless. it can draw from more references than we could see in a lifetime. but access to every perspective isn’t the same as having one. it hasn’t lived a particular life that makes one detail unbearable and another beautiful. when we ask it to choose for us without bringing any intention of our own, we get something plausible, easy to approve.
then we ship it, measure it, copy it, and feed it back into the next round. a tidal wave of mid.
this changes not just the work, but the people making it.
we describe ourselves in categories platforms can distribute and markets understand. designer. founder. creator. pick a niche. build a brand. be consistent. the parts that don’t fit become inconvenient, even when those contradictions might produce our most interesting work. we become easier to classify and harder to tell apart.
i think we need to approach making things more like artists.
an artist develops a perspective through the work. making, noticing, choosing, failing, returning. learning what matters even when nobody else cares. craft gives that perspective a form precise enough for someone else to experience.
the life outside the work matters too. the places you’ve lived, the people you’ve loved, the things you’re embarrassed to care about. these aren’t distractions from having something to say. they’re how you come to have something to say.
we understand this with music, paintings, photographs, movies. we expect a person to be present in the choices. we want to experience something we wouldn’t have encountered without them.
software can do this too.
a piece of software expresses beliefs about how life should feel. what deserves your attention. what you should be free to change. whether a task should feel like paperwork or play. even a small interaction can carry someone’s care, humor, or curiosity.
but we rarely talk about software as a medium. we talk about it as an industry. markets to capture, workflows to optimize, competitors to catch up with. we add a feature because someone else has it, without asking whether it belongs. products accumulate the same parts and lose what made them worth choosing.
underneath the branding, it’s all the same thing.
artists learn from others too. the question is whether you’re absorbing those influences into a point of view, or using them to avoid developing one.
what are you trying to let someone feel, understand, or do? why this particular shape? what have you noticed that the existing tools don’t seem to notice?
those questions don’t have answers you can borrow from a competitor’s roadmap.
if we can make almost anything, deciding what deserves to exist becomes more important, not less. speed gives us more chances to exercise judgment. it doesn’t remove the responsibility.
i don’t want a world where every person becomes a more efficient distributor of the same ideas. i want people to use these tools to go further into what they actually care about. to make things specific enough that we can feel someone behind them.
what is the point of everyone being able to make something, if we all end up making the same thing?
why should we care about the inputs?
cnrad.dev/writing/inputs
Replying to @samhenrigold
I think in the case of software specifically, because agentic coding is so ubiquitous, I don’t think the benchmark of slop should be AI’s involvement. It ought to be “is the world better off with this existing”
has anyone taken a scroll through the life of a scrollbar yet?
cnrad.dev/scrollbars
conrad retweeted
The "whiteboard defense:" I should be able to pull you aside at any moment and ask you to explain any customer-facing system you've shipped. You should be able to clearly explain how it works and defend the decisions you made. This is my benchmark for responsible AI usage.
I don't expect line-level familiarity with the code. I don't care if you remember the exact function name or implementation detail. You may not even know it. I don't care.
But if I ask "why did you do X instead of Y?", "what happens if this actor behaves maliciously?", "what data structure did you use here and why?", or "where does this fail?" you should be able to answer confidently.
For PoCs, demos, experiments, whatever: I don't care. Generate 100% of it and understand none of it. Speed over quality every time in those specific scenarios.
But if you're shipping customer-facing work, you can't be shipping things you don't understand at a high level.
there is such a clear focus on thoughtful design for every detail in this video. this is the apple I know and love
iPhone Duo was announced today. Check out our talk about the design principles behind the device, and how to build great apps for it.
Design for iPhone Duo: youtube.com/watch?v=do3UqxfY…
conrad retweeted
the internet needs help.
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today, @meter is launching (up-to) $2,000 grants to help kickstart your career.
Apply: meter.com/grants?t











