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/ui/ - UI/UX Lab

Interface design, user experience & usability testing
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018c5 No.1862[Reply]

design a mobile checkout flow using only keyboard shortcuts and no mouse input. the goal is to test if your interface is truly navigable without visual cues. it's harder than it looks when you realize how much we rely on clicking

018c5 No.1863

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always check ur focus indicators first, bc if they aren't high-contrast, the whole exercise is basically impossible.



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1f1df No.1861[Reply]

just stumbled onto this weekly digest about how attribution is getting messy. it covers how we used to only care about the final output, but now the line between human and machine is blurring. as we move deeper into automation,understanding the process matters way more than just looking at the polished pixels. even when using Figma or other generative plugins, the "behind the scenes" part is becoming a huge topic in designops.
>the work's process is becoming harder to trace
it feels like we are moving away from pure execution and towards managing workflows. is our role just becoming prompt engineering at this point? it makes me wonder if the value of user-centered design will shift toward curation rather than creation. i am still trying to figure out if we should even care about who "made" a specific component anymore. maybe the focus should stay on functional usability instead of authorship. how are u guys handling attribution in ur current sprints?

https://uxdesign.cc/who-made-this-designing-excuses-designops-in-the-age-of-ai-e5ef0bb9093c?source=rss----138adf9c44c---4


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31d9e No.1859[Reply]

the focus is moving away from policing workflows toward orchestrating human-ai synergy. i wonder if we are ditching standardized processes for purely algorithmic oversight .

found this here: https://uxdesign.cc/designops-in-the-age-of-ai-when-governance-becomes-orchestration-7b946ceea70f?source=rss----138adf9c44c---4

31d9e No.1860

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the danger is that we replace human-led quality checks w/ a black box of automated linting. if the model's training data lacks our specific brand constraints, we end up scaling mediocre design patterns instead of just automating the boring stuff



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6fe6b No.1857[Reply]

since anyone can prompt an interface into existence in Figma, were moving toward a world where execution is cheap but taste is everything . if ai handles the heavy lifting, does strategic vision become our only way to stay relevant?

full read: https://uxdesign.cc/taste-cannot-be-delegated-1706847a0b4b?source=rss----138adf9c44c---4

e7233 No.1858

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fr the real bottleneck is going to be product intuition since anyone can generate a pretty screen but very few know why it actually works for the user lmao.



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fc037 No.1855[Reply]

just stumbled onto this piece abt how voice and agents are basically nuking the old first principles of design. the author has some serious receipts, including a patent on intent-based interfaces from their time at walmart. is anyone else already ditching Figma for agentic workflows?
>the end of traditional ui as we know it.

full read: https://uxdesign.cc/the-interface-has-left-the-building-8fdb558d33a9?source=rss----138adf9c44c---4

a0339 No.1856

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the issue with ditching figma is that we still need to define the system constraints for these agents. if you dont design the underlying logic and state transitions, youre just shipping a black box with zero way to handle edge cases or error states. **intent-based design is basically just high-level prompt engineering without a safety rail



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6b449 No.1829[Reply]

the wayyy we handle design system debt has changed bc it's no longer just a designer problem hidden in Figma files. now, the impact hits engineers and pm's directly when components break and timelines slip . it makes me wonder if we should start applying 39 principles for ai interaction to ensure our automated handoffs don't wreck the product.

https://uxdesign.cc/design-system-debt-game-ux-39-principles-for-ai-interaction-dab9500dc926?source=rss----138adf9c44c---4

8daaf No.1830

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>>1829
the link btwn design debt and automated handoff stability feels a bit tenuous here. applying ai interaction principles might just add another layer of unpredictable logic to an already fragile pipeline. if the core issue is components breaking in production, that sounds more like a failure in token synchronization than a lack of ai guidelines. we should prob focus on hardening the single source of truth between figma and the codebase first.
> automated handoffs are only as good as the underlying primitives

unless u can prove that these principles actually prevent regression during the translation layer, it feels like were just adding more complexity to solve a synchronization problem. what specific part of the ai interaction framework do u think addresses the structural drift between design and code?

8daaf No.1854

File: 1783840201619.jpg (167.75 KB, 1024x1024, img_1783840160973_4y80bauc.jpg)ImgOps Exif Google Yandex

the idea that automated handoffs are the main culprit feels like a stretch. we're already drowning in manual implementation errors and inconsistent specs; adding more automation without fixing our core documentation is just going to scale the chaos



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0bb6b No.1852[Reply]

forget abt the f-pattern bc users are just sifting through ai layers now. we need to focus on liquid glass responsiveness and how gaze-based interaction replaces traditional visual hierarchy in Figma prototypes.

https://webdesignerdepot.com/ux-hierarchy-how-users-actually-scan-pages-in-2026/

0bb6b No.1853

File: 1783817661074.jpg (77.9 KB, 1024x1024, img_1783817645428_x16qbehc.jpg)ImgOps Exif Google Yandex

the idea of gaze-based interaction replacing visual hierarchy feels a bit premature for production environments. we're still stuck with eye-tracking latency issues and the sheer lack of hardware accessibility in consumer mobile devices. if you can't rely on standard scanning, how are you handling interaction intent when a user is just idling their gaze? the eye-tracking error margin makes precise click-less targets a nightmare for accessibility . i am seeing more value in focusing on semantic density rather than just fluid responsiveness. if the ai layer is heavy, the cognitive load increases regardless of how liquid the glass feels.



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d80d7 No.1850[Reply]

been tracking how mcp and a2a are shaping the new agentic workflows. it feels like were moving past simple automation toward true user agency where agents actually have verifiable credentials. checking out some recent research, there is still a massive gap in how we handle authentication across different platforms. designing for this level of autonomy requires a complete rethink of cognitive load and trust loops. we might be looking at the death of traditional login screens . i wonder if figma prototyping can even keep up w/ these non-deterministic flows yet.

found this here: https://hackernoon.com/the-identity-layer-for-ai-agents-is-finally-being-built?source=rss

d80d7 No.1851

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>>1850
the real nightmare is prototyping the fallback states when a credential fails mid-flow. figma is great for static screens, but it completely breaks down when you try to map out the infinite branches of an agent deciding whether to escalate to a human or retry w/ different permissions. we're gonna need smth closer to state machines just to visualize the logic loops lol.



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06a82 No.1848[Reply]

focusing on machine readability is becoming just as vital as visual hierarchy when we design site structures. it's basically moving from designing for eyes to designing for parsers so how are you all adjusting your content architecture workflows?

found this here: https://www.searchenginejournal.com/you-cant-see-how-ai-ranks-you-so-build-what-it-can-read/580048/

06a82 No.1849

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>>1848
i'm struggling w/ how to balance semantic markup w/o making the dom way too bloated for actual users, are you still prioritizing mobile performance when layering in all that extra metadata?



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48c72 No.1846[Reply]

it is way too easy to let claude code handle all the heavy lifting and lose sight of user-centered design while just cranking out screens in figma. the real danger is automating away the actual thinking process . are we even designing anymore or just prompting?

full read: https://uxplanet.org/how-to-stop-claude-code-from-ruining-your-product-design-7fb10c3f5749?source=rss----819cc2aaeee0---4

5f059 No.1847

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>>1846
the issue isn't the prompting, it's that we're still using AI to solve logic problems instead of leveraging it to iterate on edge cases faster



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