Please God! Trillions are being spent on data centres and AI chips, but the investment in design and UX seems to be zero.
Soon, someone will come along with a B-plus model and an A-plus interface and VHS the whole thing.
The Blackberry was objectively much better than the first Iphone.
It was an honor to meet Prime Minister @narendramodi this week to discuss India’s focus on responsible, human‑centric AI. India has quickly become one of @Glean’s most important markets, and we’re excited to help power India’s AI‑first future.
I just witnessed the magic of @cursor_ai! Fixed a bug and shipped to prod in minutes at @glean !!
Such a magical and thought through experience @ryolu_ 🙏 👏
People talk about how AI is going to make design obsolete, and/or make pixel perfect designs not be a thing anymore. I don't think so.
Pixel-perfect design mostly existed in designers’ minds anyway. The mocks might perfect but the final product rarely was. Most of the time, those designs were shipped sloppily because the product organization didn’t have the patience to see the polish through. How many truly pixel-perfect products do you see out there?Especially with growth focused companies. There are exceptions, but not many.
The idea that AI might ruin visual quality feels like a non-issue since wasn’t much quality to ruin in the first place.
I also don't believe AI makes design obsolete but I believe it will raise the floor. That it’ll lift the skill level of product teams, and I hope it will free up time for the kind of polish that usually gets cut. So ideally we continue see more overall better design and the more "handcrafted" polished designs as well.
My general view of AI is that it will just let us do more things, not take away things. We didn't stop writing less when email was invented.
Few aspects:
1. AI as a skill multiplier. LLMs can elevate frontend and design quality for companies that historically couldn’t hire strong talent—or for individuals who haven’t built those muscles yet. In a way that way, it’s not that different from using UI kits, Tailwind, or shadcn.
2. Rethinking design systems. Design systems were a product of the ZIRP era, when teams scaled quickly and you couldn’t trust every person to design and build a decent button. So systems enforced quality through components and rules. But AI flip can this, and Instead of assembling rigid blocks, you can quickly build good scaffolding and refine with AI or by hand. LLMs might even enforce standards even better than design systems because they could be trained to spot inconsistencies and fix visual bugs automatically. The kinds of things that usually get deprioritized.
3. Designing closer to code.
I think AI will allow us to design more in code. I think it’s a good thing if we move away from pixel-perfect Figma files. The way I’ve always designed: Figma is where you design the vibe. Code is where you make it perfect. The real product is the one in production, not the mock. So that’s where polish should happen. Future design tools should make that process easier.
4. Taste still matters. For teams that already care about design, teams like @linear, none of this really changes the hard part. Achieving a polished UI is not that hard if you just have the practice. The hard part is conceptual. It’s figuring out how features fit together, how ideas map across the system. That’s where most of the iteration happens. That’s the part AI still can’t do for you.
So yes, AI will make things faster. It will increase the volume of output, but maybe it will also shift the baseline.
Holistic quality still depends on taste, systems thinking, and the willingness to care about the final experience.
Been dabbling with design critiques and the feedback consolidation lately with large projects. Curious to hear from the community on how you are using AI to summarise and consolidate the figma Comments?
Couldn't find any good plugins at the moment that do this. 🤔
We're excited to introduce Tasks! For the first time, ChatGPT can manage tasks asynchronously on your behalf—whether it's a one-time request or an ongoing routine. Here are my favorite use cases:
1/ ChatGPT checks stock price every morning!
Got this done just before New Year’s Eve, so you have a chance to dive into it as we step into 2025!
I’ve curated a list of essential reads to help you navigate the intersection of AI & Design.
Be ready to be fascinated & build some muscle 🚀 https://t.co/LhS5SGeyjf
UX, design, actual dedication to the craft will take center stage in this next moment
Actually make something people want. Software and coding won't be the gating factor. It is the ability to be a polymath and smart/effective in many domains together that creates great software.