
Craft, Taste, and the AI Inflection Point
In today's newsletter, I've got a lot of great content for you, including:
- Why designers should code with AI
- How she stopped mattering faster than expected
- Why generic output is now the default danger
- And 7 more
Most Interesting

Confessions of a Millennial in Tech
Elena Verna writes about what it actually feels like when a decade of expertise stops being the differentiator it was. She's direct about the anxiety, the identity wrapped up in craft, and the way AI is collapsing the hierarchy between junior and senior work. Less a think-piece than a confession , she's not sure where value lands next, but she's mapping the discomfort honestly rather than papering over it with optimism.
Design + Development
Good Taste the Only Real Moat Left
Now that AI can produce competent work on demand, taste is the only real differentiator left. Not taste as aesthetic preference, but as judgment under pressure, knowing why one output is generic and another isn't.
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This article argues that designers should code, and that AI coding agents are making this practical again by shrinking the gap between design and production development workflows.
Tech + Innovation
Ergosphere pushes back on the perfectionism behind most AI criticism. LLMs are already good enough for coding, writing, and analysis , the problem is expecting them to be flawless rather than useful.
is a library of AI prompts and rules for frontend design work in Cursor, Claude Code, and Gemini CLI. It covers 20 areas, typography, color, layout, motion, with patterns and anti-patterns for each.
We Built Every Employee at Ramp Their Own AI Coworker
Ramp built Glass to turn every employee into an AI power user by handling all the configuration (SSO, tool integrations, memory, workflows) so people can focus on using AI rather than wiring it up.
Work + Mindset
turns your to-do list into a Japanese folk tale. Tasks become quests, habits become character arcs. It's a productivity app, but one that actually tries to make the work feel like something worth doing.
Christopher Butler thinks AI's real threat isn't to craft itself, it's to iteration.
Actually, People Love to Work Hard
Anil Dash identifies three things that actually make people love working hard: a clear goal, shared values, and the freedom to work their own way toward it.

Resources & Market Signals
Edition #120
Design Systems Meet AI, Process Evolves
Edition #144


