Storybook

500 people vibe-coded for 30 days. I was one of them. - Sanja Grbic, Automattic

Jul 7, 2026 · 17:49

In Automattic's Radical Speed Month, a 30-day experiment where over 500 employees paused roadmap work to ship real projects, product designer Sanja Grbic built three distinct products—a board game session manager, a design system status tracker, and an iOS chat for WooCommerce merchants—demonstrating how AI tools like Claude Code and ContextAIC can transform roles and unlock speed. The first project showed that engineers become enablers when they set up non-engineers for coding success. The second project, completed in two and a half weeks, moved Grbic from designer to design engineer by owning the full build, from proof of concept to deployment. The third project, built in just six days with a fellow designer, proved that shared understanding of AI workflows collapses iteration time. Grbic argues that large organizations can replicate this by providing tool access, finding enablers, creating space for experimentation, and granting agency—shifting human behavior to break out of established habits and release the velocity AI offers.

The emerging skillset of wielding coding agents — Beyang Liu, Sourcegraph / Amp

Jun 30, 2025 · 35:06

Beyang Liu, CTO and co-founder of Sourcegraph, argues that coding agents are a real and high-ceiling skill, contrary to skeptics like Jonathan Blow and Eric S. Raymond. He presents design decisions for the agentic era: agents should directly edit files instead of asking permission, UIs should be minimal (like Amp's bare-bones VS Code extension and CLI), and fixed pricing should give way to usage-based models. In a live demo, Liu uses Amp to implement a custom icon for the linear connector in Amp's own codebase, demonstrating agentic search and sub-agents. He shares power-user patterns, including writing long prompts, constructing feedback loops with Playwright and Storybook, and running multiple agents in parallel—as exemplified by Jeff Huntley using Amp to build a compiler while sleeping. Liu emphasizes that agents should enable more thorough code reviews, not replace human understanding.