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    The case for treating software as an artistic medium

    Ryo Lu argues that copying competitors and optimizing for metrics can make products polished but interchangeable.

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    TLDR

    Ryo Lu argues that software converges on a bland mean when makers copy competitors, optimize for measurable attention and let market feedback dictate creative choices. He says AI accelerates that loop by making plausible imitation easy, and urges builders to work more like artists by bringing lived experience, intention and judgment to decisions about what software should help people feel, understand or do.

    Combined views

    115.1K

    4 Sources, first seen 11h ago

    Combined views

    115.1K

    4 Sources, first seen 11h ago

    1.3K likes

    Useful links

    Jackson Dahl

    34. Ryo Lu - It's All the Same Thing — Dialectic

    Cursor · YouTube

    Closer to the Material, Ryo Lu | Compile 26

    Wave AI Podcast Notes

    Ryo Lu (Cursor): AI Turns Designers to Developers | AI + a16z

    Dialectic Podcast with Jackson Dahl · YouTube

    Cursor's Ryo Lu on Designing Living Tools, the Future of Coding , & Creating Soulful Things with AI

    Peter Yang · YouTube

    Full Tutorial: Design to Code in 45 Min with Cursor's Head of Design | Ryo Lu
    11h ago
    first seen 11h ago
    1.3K likes
    71 comments
    842 saves
    121 reposts
    71 comments
    842 saves
    121 reposts

    Ryo Lu argues that software makers should treat their work as an artistic medium, with intention and lived experience shaping product decisions instead of letting metrics or competitors do the choosing.

    In an essay posted on X, Lu describes a familiar loop: teams copy language, aesthetics and features that already seem to work, then call the result learning from the market or following best practices. The products may look polished, he writes, but they also become interchangeable.

    Featured Source

    Sentiment

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    Summary

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    No sentiment analysis available yet.

    Useful Links

    Jackson Dahl

    34. Ryo Lu - It's All the Same Thing — Dialectic

    Wave AI Podcast Notes

    Ryo Lu (Cursor): AI Turns Designers to Developers | AI + a16z

    Related Videos

    • Closer to the Material, Ryo Lu | Compile 26Cursor · YouTube
    • Cursor's Ryo Lu on Designing Living Tools, the Future of Coding , & Creating Soulful Things with AIDialectic Podcast with Jackson Dahl · YouTube
    • Full Tutorial: Design to Code in 45 Min with Cursor's Head of Design | Ryo LuPeter Yang · YouTube
    Today's Rank

    #5

    Today's Rank

    #5

    How AI accelerates convergence

    Lu argues that measurable attention can gradually take over the creative process. Feedback stops informing the work and starts deciding what gets made, shifting the central question from what a maker wants to express toward what the market is likely to reward.

    AI makes that cycle easier to repeat, in Lu's view, because it can draw from more references than any person could encounter. But access to many perspectives is not the same as having one. Without a person supplying an intention, he says, the result tends to be plausible and easy to approve. That output can then be shipped, measured and copied into the next round.

    The concern extends to the people using the tools. Lu argues that makers may start describing themselves in categories that platforms can distribute and markets can recognize, pushing aside the contradictions that might have produced more distinctive work.

    What an artistic approach would change

    Lu's alternative is to build more like an artist: develop a perspective through making, noticing, choosing, failing and returning to the work. Personal experience matters because it gives a maker something specific to say.

    Software, he argues, can express beliefs about how life should feel, what deserves attention, what users should be free to change and whether a task should feel like paperwork or play. That means a product decision should not be borrowed automatically from a competitor's roadmap.

    Lu is not rejecting influence or faster tools. Artists learn from others too. His distinction is whether those influences become part of a point of view or substitute for developing one. If AI makes it possible to create more quickly, he concludes, deciding what deserves to exist requires more judgment, not less.

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    4 Sources

    @ryolu_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?11h
    @zoinkwell said. nice to have Ryo back and thinking for himself again.3h
    @bentossell@ryolu_ yeh i’m spending a lot of time figuring out how to get more “why/how” moments for folks who copy first and learn as you build2h

    Useful Links

    Jackson Dahl

    34. Ryo Lu - It's All the Same Thing — Dialectic

    Related Videos

    Wave AI Podcast Notes

    Ryo Lu (Cursor): AI Turns Designers to Developers | AI + a16z
    Closer to the Material, Ryo Lu | Compile 26Cursor · YouTube
  • Cursor's Ryo Lu on Designing Living Tools, the Future of Coding , & Creating Soulful Things with AIDialectic Podcast with Jackson Dahl · YouTube
  • Full Tutorial: Design to Code in 45 Min with Cursor's Head of Design | Ryo LuPeter Yang · YouTube
  • 4 Sources

    @ryolu_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?11h
    @zoinkwell said. nice to have Ryo back and thinking for himself again.3h
    @bentossell@ryolu_ yeh i’m spending a lot of time figuring out how to get more “why/how” moments for folks who copy first and learn as you build2h