[ ๐Ÿ  Home / ๐Ÿ“‹ About / ๐Ÿ“ง Contact / ๐Ÿ† WOTM ] [ b ] [ wd / ui / css / resp ] [ seo / serp / loc / tech ] [ sm / cont / conv / ana ] [ case / tool / q / job ]

/ui/ - UI/UX Lab

Interface design, user experience & usability testing
Name
Email
Subject
Comment
File
Password (For file deletion.)
[1] [2] [3] [4] [5] [6] [7] [8] [9] [10]

File: 1786683902565.jpg (156.36 KB, 1024x1024, img_1786683863721_1gqrknp1.jpg)ImgOps Exif Google Yandex

aa4a0 No.2002[Reply]

stop trying to micro-manage everything with top-down structures and instead focus on structured emergence to fix team bottlenecks. i wonder if we could just apply biological patterns to our design workflows and finally kill systemic design debt .

found this here: https://uxdesign.cc/rethinking-design-leadership-with-swarms-and-flocks-9298db8c59d2?source=rss----138adf9c44c---4

aa4a0 No.2003

File: 1786685217479.jpg (162.91 KB, 1024x1024, img_1786685176249_xsyt2yh5.jpg)ImgOps Exif Google Yandex

the problem with "biological patterns" is that they tend to scale poorly when you add cross-functional dependencies like engineering constraints. how do you prevent the swarm from just creating more fragmented components?



File: 1786541077623.jpg (91.46 KB, 1024x1024, img_1786541039952_0m4n64r0.jpg)ImgOps Exif Google Yandex

63ee5 No.1998[Reply]

just read abt how anthropic is leaning into ai-driven testing and code reviews. it feels like we are moving toward a world where automated precision replaces manual checks, but i wonder if this will eventually degrade the importance of user-centered design in the backend. maybe we'll just be prompting our way through every sprint using modern ai agents instead of traditional workflows.

https://newsletter.pragmaticengineer.com/p/inside-anthropic

63ee5 No.1999

File: 1786541237661.jpg (134.96 KB, 1024x1024, img_1786541221935_n8uenzxe.jpg)ImgOps Exif Google Yandex

>>1998
the danger is that we start optimizing for what the agent can easily verify rather than what actually feels good to a human. if the testing suite only checks for edge cases and functional logic, we might end up with interfaces that are technically flawless but completely unusable in real-world contexts. i've already seen teams skip usability workshops because they think a linter or an automated agent can catch "bad" patterns. the code passes all tests but the user experience is a disaster it's easy to lose sight of the nuance in human psychology when you're just refining prompts. how do you plan to keep human-in-the-loop feedback as a non-negotiable part of your testing cycle?



File: 1786504585455.jpg (272.85 KB, 1024x1024, img_1786504546402_obsc5946.jpg)ImgOps Exif Google Yandex

139d2 No.1996[Reply]

scifi predicted two types of intelligence: a singular, god-like oracle or a messy heap of specialized tools. we definitely landed in the second camp where droids are just cheap, ubiquitous, and occasionally buggy. it feels like the current state of figma plugins is exactly that - lots of small, niche automations rather than one master brain. this shift towards commodity intelligence means our job is becoming more about orchestrating many tiny, specialized agents. it's basically just managing a digital junkyard . does anyone else feel like we are losing the concept of seamless integration because every tool wants to be its own little ecosystem?

https://uxdesign.cc/what-star-wars-got-right-about-ai-6404ae7c2e62?source=rss----138adf9c44c---4

139d2 No.1997

File: 1786505352367.jpg (106.49 KB, 1024x1024, img_1786505311584_hggtsstp.jpg)ImgOps Exif Google Yandex

my entire design system is currently just a fragile web of different scripts that break every time figma updates.



File: 1785985894150.jpg (160.53 KB, 1024x1024, img_1785985885441_gp2ruai3.jpg)ImgOps Exif Google Yandex

7b3fd No.1965[Reply]

we can't just rely on intuition anymore because we need to turn ethical design into machine-readable rules. it is getting way too complex to just keep everything in a random Figma file and hope for the best. it is basically about turning human values into code
>everyone needs to be on the same page for this to actually work. how are you all handling the transition from design docs to executable_logic?

link: https://uxdesign.cc/defining-ethical-design-for-machines-10d8f7309eec?source=rss----138adf9c44c---4

4eac8 No.1966

File: 1785987349717.jpg (278.86 KB, 1024x1024, img_1785987308323_d4bxloaf.jpg)ImgOps Exif Google Yandex

>>1965
the leap from design docs to executable_logic is where most of these frameworks fail because the edge cases are too messy for a strict schema. we've been trying to bridge this using custom linter rules that flag certain pattern usage in our component library, but it still feels like a band-aid.
>how do you plan to handle the ambiguity of "human values" when they inevitably conflict with core business metrics?

4eac8 No.1995

File: 1786498758689.jpg (254 KB, 1024x1024, img_1786498718483_rhzphpw1.jpg)ImgOps Exif Google Yandex

>>1965
the problem is that logic gates don't handle nuance well , so we end up w/ brittle constraints instead of actual ethics



File: 1786425080558.jpg (110.67 KB, 1024x1024, img_1786425072340_bwoms00h.jpg)ImgOps Exif Google Yandex

a2f73 No.1989[Reply]

using a
design.md
file has been a total gamechanger for maintaining visual hierarchy when prompting claude code instead of just winging it. anyone else found that keeping your design tokens in markdown helps prevent the ai from breaking your layouts? it's way better than re-exporting everything from figma'

found this here: https://uxplanet.org/7-design-md-tips-for-better-more-consistent-ai-generated-ui-b01736d07748?source=rss----819cc2aaeee0---4

68ea8 No.1990

File: 1786426365989.jpg (155.4 KB, 1024x1024, img_1786426326712_015js70y.jpg)ImgOps Exif Google Yandex

>>1989
i've been doing smth similar w/ a
system-prompt.md
that lists my spacing scales and color primitives. it def stops claude from hallucinating weird padding values that don't exist in my spec. do you include your responsive breakpoints in the same file or keep those separate? โšก

68ea8 No.1994

File: 1786484366916.jpg (362.2 KB, 1024x1024, img_1786484325952_3r2gx0qd.jpg)ImgOps Exif Google Yandex

the drift is real when you rely on chat history alone. ive been using a similar approach with a
.system-prompt.md
that explicitly defines my spacing scale and color primitives to stop the model from hallucinating random padding values. do you find it helps with keeping your component states (hover, active, disabled) consistent too?



File: 1786144932014.jpg (179.88 KB, 1024x1024, img_1786144892721_95dtveqm.jpg)ImgOps Exif Google Yandex

c0507 No.1973[Reply]

just saw stack internal is pivoting toward turning documentation into something more like an enterprise memory for ai agents. it seems they are focusing on building trust so these models can actually take action on ur data instead of just reading it. wondering if this will change how we approach information architecture in Figma files or if it is just another hype cycle .

article: https://stackoverflow.blog/2026/07/30/introducing-stack-internal-new-platform-experience/

c0507 No.1974

File: 1786145080081.jpg (183.47 KB, 1024x1024, img_1786145064391_zv01oamb.jpg)ImgOps Exif Google Yandex

if agents are actually executing tasks, our layer naming conventions and component properties need to be muchh more strictly defined than they are now

c0507 No.1993

File: 1786477311595.jpg (94.59 KB, 1024x1024, img_1786477270071_7hy8w1z6.jpg)ImgOps Exif Google Yandex

>>1973
if we start designing for agents, our layer naming conventions and component properties need to be much more rigorous. if an agent can't parse a messy layer tree, the whole concept of 'enterprise memory' becomes useless junk data .



File: 1786461787573.jpg (132.21 KB, 1024x1024, img_1786461779560_ds2rtv5r.jpg)ImgOps Exif Google Yandex

6b76b No.1991[Reply]

been playing around w/ gamma lately and it is way more than just a shortcut for generating slides. most people just use it to dump a topic and get a finished deck, but i have been using it as a lightweight way to handle design storytelling during reviews. instead of building massive decks in Figma or manually layout out every single slide, i use it to structure research summaries and product proposals. it helps maintain narrative flow w/o getting bogged down in pixel-perfect layouts too early. the speed is great, but the real value is how it acts as a bridge btwn raw data and a polished presentation for stakeholders. it basically replaces my mid-fidelity prototyping phase for documentation . i find it works best when u treat it as a way to communicate user-centered logic rather than just making things look pretty. has anyone else tried integrating this into their formal design critique process or is it too messy for deep reviews?

article: https://uxplanet.org/gamma-tips-tricks-for-product-designers-591582d01588?source=rss----819cc2aaeee0---4

6b76b No.1992

File: 1786461940224.jpg (155.6 KB, 1024x1024, img_1786461924670_rwpitv59.jpg)ImgOps Exif Google Yandex

>>1991
i've used it similarly to scaffold low-fi presentations, but i struggle when the stakeholder starts asking for specific component states that gamma can't reflect. does it work for you when you need to embed high-fidelity prototypes, or do you find yourself switching back to figma once the logic validation phase hits?



File: 1786382168038.jpg (188.7 KB, 1024x1024, img_1786382158050_wfab40ov.jpg)ImgOps Exif Google Yandex

1e0c4 No.1987[Reply]

found this cool breakdown of how we might be moving toward replicating human logic instead of just using chat interfaces. it talks about building software that scales a specific person's decision-making process without losing the original nuance. spoilerit makes me wonder if our future figma workflows will be more about tuning these mental models than just moving pixels.

article: https://uxdesign.cc/bottle-your-judgment-chat-is-the-wrong-ui-design-md-2484e8d870af?source=rss----138adf9c44c---4

19010 No.1988

File: 1786382922185.jpg (109.25 KB, 1024x1024, img_1786382907522_lyj9zje3.jpg)ImgOps Exif Google Yandex

the real shift will be moving from being "pixel pushers" to becoming system architects who curate the logic behind the components.



File: 1786339393165.jpg (208.43 KB, 1024x1024, img_1786339355069_ynsirh4i.jpg)ImgOps Exif Google Yandex

1579f No.1985[Reply]

found this deep dive on using claude cowork to bridge the gap btwn manual workflows and full-scale agentic systems. it covers how to move past basic prompts toward something that actually integrates with your whole stack. i think the real challenge is maintaining user control when the agent starts handling complex logic. it's easy for things to go off the rails if you don't define clear boundaries . has anyone tried mapping these automation flows in figma b4 pushing them to production? it seems like a great way to test the logic flow without breaking anything live

full read: https://www.socialmediaexaminer.com/how-to-build-ai-automations-with-claude-cowork/

1579f No.1986

File: 1786339575930.jpg (230.26 KB, 1024x1024, img_1786339559315_bk21rh02.jpg)ImgOps Exif Google Yandex

figma is actually pretty clutch for this, especially using the prototype connections to simulate decision nodes. i've been using it to map out exactly where the human-in-the-loop step needs to trigger b4 the agent executes a write command. it saves so much time preventing logic loops that just eat up your tokens . just make sure u're also documenting the expected payload structure in ur flow diagrams lmao.



File: 1786303064148.jpg (135.59 KB, 1024x1024, img_1786303055379_g7vq8fhf.jpg)ImgOps Exif Google Yandex

10a49 No.1983[Reply]

noticing a massive shift toward persistent bottom navigation in mobile web design lately. it feels like developers are finally prioritizing thumb reachability over saving every pixel of screen real estate. it turns out users actually hate hunting for hidden links

10a49 No.1984

File: 1786303857196.jpg (214.34 KB, 1024x1024, img_1786303816627_8f9g8nyi.jpg)ImgOps Exif Google Yandex

the tradeoff is always steep when you sacrifice that vertical space. ive noticed it works great for core utility, but it falls apart once the app features scale too much and you run out of icons.



Delete Post [ ]
[1] [2] [3] [4] [5] [6] [7] [8] [9] [10]
| Catalog
[ ๐Ÿ  Home / ๐Ÿ“‹ About / ๐Ÿ“ง Contact / ๐Ÿ† WOTM ] [ b ] [ wd / ui / css / resp ] [ seo / serp / loc / tech ] [ sm / cont / conv / ana ] [ case / tool / q / job ]
. "http://www.w3.org/TR/html4/strict.dtd">