Projects like Rio OS, which recreate old operating systems, show that fundamental UI concepts—windows, text editors, icons—are timeless. Despite massive technological leaps, we are still using the same core patterns established decades ago. This suggests that lasting design focuses on these enduring interaction models rather than fleeting trends.
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Figma CEO Dylan Field predicts we will look back at current text prompting for AI as a primitive, command-line interface, similar to MS-DOS. The next major opportunity is to create intuitive, use-case-specific interfaces—like a compass for AI's latent space—that allow for more precise control beyond text.
Current text-based prompting for AI is a primitive, temporary phase, similar to MS-DOS. The future lies in more intuitive, constrained, and creative interfaces that allow for richer, more visual exploration of a model's latent space, moving beyond just natural language.
Despite offering modern browser interfaces, the company found that expert data entry clerks were significantly faster on old text-based "green screen" terminals. They could type without looking at the screen, using muscle memory for tabs and function keys, making the modern UI a downgrade in efficiency.
Despite the rise of terminal-based AI, IDEs remain essential because source code is meant for human consumption. Visual interfaces are the best way for developers to review, understand, and build context around what AI agents produce, preventing the 'death of the IDE'.
Design is often mistaken for aesthetics, like choosing a border radius. Its real function is architectural: defining the simplest possible system with the fewest core concepts to achieve the most for users. Notion's success, for example, comes from being built on just blocks, pages, and databases, not from surface-level UI choices.
Inspired by architect Christopher Alexander, a designer's role shifts from building the final "house" to creating the "pattern language." This means designing a system of reusable patterns and principles that empowers users to construct their own solutions tailored to their unique needs.
The host successfully prompted Google's Gemini 3.0 to redesign his personal website in the style of Microsoft XP. This demonstrates that AI can move beyond generic templates by leveraging unconventional, nostalgic design languages, creating a memorable user experience that stands out.
Products like a joystick possess strong "affordance"—their design inherently communicates how they should be used. This intuitive quality, where a user can just "grok" it, is a key principle of effective design often missing in modern interfaces like touchscreens, which require learned behavior.
For highly commoditized interactions like text editor undo or canvas pinch-to-zoom, users have powerful, ingrained expectations. Failing to match these conventions doesn't make a tool feel "different"; it makes it feel fundamentally unusable and broken, regardless of its other features. Innovation should be focused elsewhere.
The era of winning with merely functional software is over. As technology, especially AI, makes baseline functionality easier to build, the key differentiator becomes design excellence and superior craft. Mediocre, 'good enough' products will lose to those that are exceptionally well-designed.
