Tags: prototyping

I find Brian Eno to be a fascinating chap. His music isn’t my cup of tea, but I really enjoy hearing his thoughts on art, creativity, and culture.

I’ve always loved this short piece he wrote about singing with other people. I’ve passed that link onto multiple people who have found a deep joy in singing with a choir:

Singing aloud leaves you with a sense of levity and contentedness. And then there are what I would call “civilizational benefits.” When you sing with a group of people, you learn how to subsume yourself into a group consciousness because a capella singing is all about the immersion of the self into the community. That’s one of the great feelings — to stop being me for a little while and to become us. That way lies empathy, the great social virtue.

Then there’s the whole Long Now thing, a phrase that originated with him:

I noticed that this very local attitude to space in New York paralleled a similarly limited attitude to time. Everything was exciting, fast, current, and temporary. Enormous buildings came and went, careers rose and crashed in weeks. You rarely got the feeling that anyone had the time to think two years ahead, let alone ten or a hundred. Everyone seemed to be passing through. It was undeniably lively, but the downside was that it seemed selfish, irresponsible and randomly dangerous. I came to think of this as “The Short Now”, and this suggested the possibility of its opposite - “The Long Now”.

I was listening to my Huffduffer feed recently, where I had saved yet another interview with Brian Eno. Sure enough, there was plenty of interesting food for thought, but the bit that stood out to me was relevant to, of all things, prototyping:

I have an architect friend called Rem Koolhaas. He’s a Dutch architect, and he uses this phrase, “the premature sheen.” In his architectural practice, when they first got computers and computers were first good enough to do proper renderings of things, he said everything looked amazing at first.

You could construct a building in half an hour on the computer, and you’d have this amazing-looking thing, but, he said, “It didn’t help us make good buildings. It helped us make things that looked like they might be good buildings.”

I went to visit him one day when they were working on a big new complex for some place in Texas, and they were using matchboxes and pens and packets of tissues. It was completely analog, and there was no sense at all that this had any relationship to what the final product would be, in terms of how it looked.

It meant that what you were thinking about was: How does it work? What do we want it to be like to be in that place? You started asking the important questions again, not: What kind of facing should we have on the building or what color should the stone be?

I keep thinking about that insight: “It didn’t help us make good buildings. It helped us make things that looked like they might be good buildings.”

Substitute the word “buildings” for whatever output is supposedly being revolutionised by generative models today. Websites. Articles. Public policy.

Vibe code is legacy code | Val Town Blog

When you vibe code, you are incurring tech debt as fast as the LLM can spit it out. Which is why vibe coding is perfect for prototypes and throwaway projects: It’s only legacy code if you have to maintain it!

The worst possible situation is to have a non-programmer vibe code a large project that they intend to maintain. This would be the equivalent of giving a credit card to a child without first explaining the concept of debt.

If you don’t understand the code, your only recourse is to ask AI to fix it for you, which is like paying off credit card debt with another credit card.

Addicted to Every Possibility by Nathan Beck

Find freedom not in infinite choice, but in working a single seam until you strike gold: conducting dozens, even hundreds, of iterations within a tight parameter space—not in search of more, but in search of better.

Vibe coding and Robocop

The short version of what I want to say is: vibe coding seems to live very squarely in the land of prototypes and toys. Promoting software that’s been built entirely using this method would be akin to sending a hacked weekend prototype to production and expecting it to be stable.

Remy is taking a very sensible approach here:

I’ve used it myself to solve really bespoke problems where the user count is one.

Would I put this out to production: absolutely not.

I don’t use large language models. My objection to using them is ethical. I know how the sausage is made.

I wanted to clarify that. I’m not rejecting large language models because they’re useless. They can absolutely be useful. I just don’t think the usefulness outweighs the ethical issues in how they’re trained.

Molly White came to the same conclusion:

The benefits, though extant, seem to pale in comparison to the costs.

Rich has similar thoughts:

What I do know is that I find LLMs useful on occasion, but every time I use one I die a little inside.

I genuinely look forward to being able to use a large language model with a clear conscience. Such a model would need to be trained ethically. When we get a free-range organic large language model I’ll be the first in line to use it. Until then, I’ll abstain. Remember:

You don’t get companies to change their behaviour by rewarding them for it. If you really want better behaviour from the purveyors of generative tools, you should be boycotting the current offerings.

Still, in anticipation of an ethical large language model someday becoming reality, I think it’s good for me to have an understanding of which tasks these tools are good at.

Prototyping seems like a good use case. My general attitude to prototyping is the exact opposite to my attitude to production code; use absolutely any tool you want and prioritise speed over quality.

When it comes to coding in general, I think Laurie is really onto something when he says:

Is what you’re doing taking a large amount of text and asking the LLM to convert it into a smaller amount of text? Then it’s probably going to be great at it. If you’re asking it to convert into a roughly equal amount of text it will be so-so. If you’re asking it to create more text than you gave it, forget about it.

In other words, despite what the hype says, these tools are far better at transforming than they are at generating.

Iris Meredith goes deeper into this distinction between transformative and compositional work:

Compositionality relies (among other things) on two core values or functions: choice and precision, both of which are antithetical to LLM functioning.

My own take on this is that transformative work is often the drudge work—take this data dump and convert it to some other format; take this mock-up and make a disposable prototype. I want my tools to help me with that.

But compositional work that relies on judgement, taste, and choice? Not only would I not use a large language model for that, it’s exactly the kind of work that I don’t want to automate away.

Transformative work is done with broad brushstrokes. Compositional work is done with a scalpel.

Large language models are big messy brushes, not scalpels.

Dan wrote an interesting post with a somewhat clickbaity title; This Competition Exposed How AI is Reshaping Design:

I watched two designers go head-to-head in a high-speed battle to create the best landing page in 45 minutes. One was a seasoned pro. The other was a non-designer using AI.

If you can ignore the title (and the fact that Dan still actively posts on Twitter; something I find very hard to ignore), then there’s a really thoughtful analysis in there.

It’s less about one platform or tool vs. another more than it is a commentary on how design happens, and whether or not that’s changing in a significant way.

In particular, there’s a very revealing graph that shows the pros and cons of both approaches.

There’s no doubt about it, using a generative large language model helped a non-designer to get past the blank page. But it was less useful in subsequent iterations that rely on decision-making:

I’ve said it before and I’ll say it again: design is deciding. The best designers are the best deciders.

Dan finishes by saying that what he’d really like to see is an experienced designer/decider using these tools to turbo-boost their process:

AI raises the floor for non-designers. But can it raise the ceiling for designers?

Meanwhile, Matt has been writing about Vibe-designing. Matt is an experienced designer, but he’s not experienced with Figma. He’s found that he can work around that using a large language model:

Where in the past 30 years I might have had to cajole a more technically adept colleague into making something through sketches, gesticulating and making sound effects – I open up a Claude window and start what-iffing.

The “vibe” part of the equation often defaults to the mean, which is not a surprise when you think about what you’re asking to help is a staggeringly-massive machine for producing generally-unsurprising satisfactory answers quickly. So, you look at the output as a basis for the next sketch, and the next sketch and quickly, together, you move to something more novel as a result.

Interesting! Just as Dan insisted, the important work is making the decision and moving on to the next stage. If the actual outputs at each stage are mediocre, that seems to be okay, as long as they’re just good enough to inform a go/no-go decision.

This certainly seems more centaur-like than the usual boring uses of large language models to simply do what people are already doing.

Rich gets at something similar when he talks about using large language models for prototyping, where it’s okay if the code is kind of shitty:

If all you need is crappy code to try out a concept or a solution, then an LLM might well enable you (the designer) to do that.

Mind you, even if you do end up finding useful and appropriate ways to use these tools, you’re still using a tool built on exploitation and unfairness:

It’s hard (and reckless) to ignore the heartfelt and cogent perspective laid out by Miriam on the role of AI companies in the current geopolitical crisis:

When eugenics-obsessed billionaires try to sell me a new toy, I don’t ask how many keystrokes it will save me at work. It’s impossible for me to discuss the utility of a thing when I fundamentally disagree with the purpose of it.

Design for a Small Planet – Scott Jenson

So, let’s start with a simple premise: how can we make design less opaque and encourage teams to make small changes more efficiently? Not every product decision needs to be a big, complicated design process.

This checklist, in four parts, is meant to be a simple, lightweight way for the team to get the ‘gist’ of the issue and make a shared decision quickly. It’s a starting point, a way to get the critical information in once place so the entire team can understand and discuss. The four parts are:

• Gather: Bring the right info together into a single place
• Impact: List the size of the problem and possible risks
• Sketch: Create a preliminary sketch of a solution
• Team Huddle: Get the product team to discuss and agree on a solution.

Another uncalled-for blog post about the ethics of using AI | Clagnut by Richard Rutter

This is a really thoughtful piece by Rich, who’s got conflicted feelings about large language models in the design process. I suspect a lot of people can relate to this.

What I do know is that I find LLMs useful on occasion, but every time I use one I die a little inside.

Putting the ink into design thinking | Clearleft

The power of prototyping:

Most of my work is a set of disposables rather than deliverables, and I celebrate this.

I like the three questions that Chris asks himself:

1. What’s the quickest, cheapest thing I can create to help make the next design decision?
2. What can I create to best demonstrate the essence of the concept?
3. How can I most effectively share the thinking behind the design with decision-makers?

Why I moved on from Figma – No Handoff

A good looking artifact too early in the process gains buy-in too quickly and kills discovery.

Design notes on the 2023 Wikipedia redesign

So then the question becomes: how do you most effectively communicate designs, to facilitate the best discussions about those designs? My answer is: lots of little prototypes built with HTML, CSS, and JavaScript.

Craft — PaulStamatiou.com

I often use the word quality when referring to apps, products and services I hold in a high regard but another word that often comes up in this context is craft. Craft, as in something that is handcrafted where something someone spent a lot of time on and maybe even embedded their own personal touches and personality in it. Often something handcrafted feels more premium.

Fermented Code: Modelling the Microbial Through Miso - Serpentine Galleries

Y’know, I started reading this great piece by Claire L. Evans thinking about its connections to systems thinking, but I ended up thinking more about prototyping. And microbes.

The Demo → Demo Loop - daverupert.com

I’m 100% convinced that working demo-to-demo is the secret formula to making successful creative products.

Paper Prototype CSS

A stylesheet to imitate paper—perfect for low-fidelity prototypes that you want to test.

You Don’t Need A UI Framework — Smashing Magazine

We noticed a trend: students who pick a UI framework like Bootstrap or Material UI get off the ground quickly and make rapid progress in the first few days. But as time goes on, they get bogged down. The daylight grows between what they need, and what the component library provides. And they wind up spending so much time trying to bend the components into the right shape.

I remember one student spent a whole afternoon trying to modify the masthead from a CSS framework to support their navigation. In the end, they decided to scrap the third-party component, and they built an alternative themselves in 10 minutes.

This tracks with my experience. These kinds of frameworks don’t save time; they defer it.

The one situation where that works well, as Josh also points out, is prototyping.

If the goal is to quickly get something up and running, and you don’t need the UI to be 100% professional, I do think it can be a bit of a time-saver to quickly drop in a bunch of third-party components.

Benjamin Parry~ Writing ~ Engineering a better design test ~ @benjaminparry

It sometimes feels like we end up testing the limitations of our tools rather than the content and design itself.

What Benjamin found—and I heartily agree—is that HTML prototypes give you the most bang for your buck:

At the point of preparing for usability testing, it seemed ludicrous to move to any prototyping material other than the one we were already building in. The bedrock of the web: HTML, CSS and Javascript.

Hacks Are Fine / Matt Hogg FYI

If you employ a hack, don’t be so ashamed. Don’t be too proud, either. Above all, don’t be lazy—be certain and deliberate about why you’re using a hack.

I agree that hacks for prototyping are a-okay:

When it comes to prototypes, A/B tests, and confirming hypotheses about your product the best way to effectively deliver is actually by writing the fastest, shittiest code you can.

I’m not so sure about production code though.

The latest episode of the Clearleft podcast is live and it’s all about prototyping.

There’s a bit of a narrative thread in there about airplanes, kicked off by a great story Benjamin tells about testing a physical prototype …of the inside of a transatlantic airliner. Lorenzo recounts his story of mocking up a fake CMS with readily-available tools. And Trys tells of a progressive web app he whipped up for our friends at Suffolk Libraries. There’s even a bit about Hack Farm in there too.

But just to make sure it isn’t too much of a Clearleft love-in, I also interviewed an outside expert: Adekunle Oduye. It was very kind of him to give up his time, especially considering he had just moved house …in a pandemic!

There are some great words of wisdom, immortalised in the transcript:

Prototypical code isn’t production code. It’s quick and it’s often a little bit dirty and it’s not really fit for purpose in that final deliverable. But it’s also there to be inspiring and to gather a team and show that something is possible.

—Trys

If you’re building something and you’re not really sure if it’s a right solution, use the word prototype versus design, because I feel like when people say design, that’s like the end result.

—Adekunle

I always think of a prototype as a prop. It’s something to look at, something to prod. And ideally you’re trying to work out what works and what doesn’t.

— Benjamin

The whole episode is just over 21 minutes long. Have a listen and enjoy the stories.

If you like what you hear, please spread the word. Tell your Slack colleagues, your Twitter friends, your LinkedIn acquaintances. And if you’re not already subscribed, you can remedy that on Apple Podcasts, Google Podcasts, Spotify, Overcast and anywhere that accepts RSS.

The Empty Box | CSS-Tricks

This is an excellent framing for minimal viable products—what would the black box theatre production be?

Forget about all the production and complexity you could build. What’s the purpose you want to convey at the core?

Identify core functionality.