Where AI appears in your interface can shape how users discover, trust, and adopt it. Learn the strengths of common AI UI placement patterns and how to choose the right one for your product.
Meta’s Astryx ships an MCP server and component manifest so agents query real APIs. We tested it against shadcn/ui with Claude Code across three real UI builds.
Learn how to use Skybridge, an open-source React framework, to build and deploy cross-platform AI apps and interactive UI widgets for ChatGPT, Claude, and MCP clients from a single codebase.
Learn how to choose and adapt product management frameworks based on your product stage, constraints, problem type, and business context.
Learn how to use Fallow to analyze AI-generated code, detect dead code, duplicate logic, and complexity issues, and integrate automated code quality checks into your AI-assisted development workflow.
Skeuomorphism helped define early digital interfaces by mimicking real-world objects to make technology more intuitive. Learn how it compares with flat design and neumorphism, why it declined, and where it still has a place in modern UX.
Learn how Storybook MCP enables AI agents to understand your component library, generate accurate UI, and validate code using documentation, stories, and automated tests.
Enabled React Compiler v1.0 on a production Next.js app. Here’s every warning, breakage, and silent opt-out I documented — and what actually worked.
We built the same app in TanStack Start RSC and Next.js RSC. TanStack shipped 40% less JS and built 4x faster — but Next.js is still the safer production bet.
From RSC vulnerabilities and the Vercel breach to TypeScript 7.0 Beta and AI agents — the nine frontend storylines that defined H1 2026, ranked.
Learn how to use Gemini CLI subagents to delegate frontend, backend, testing, and docs tasks to specialized agents with guardrails and clear ownership.
Learn how PMs can use AI and communication to spot duplicate work early, align teams, and protect engineering capacity.
