Explore 15 essential MCP servers for web developers to enhance AI workflows with tools, data, and automation.
Learn when streaks improve retention, when they create fragile engagement, and how PMs can design healthier systems around user progress.
AI has made polished, confident content easy to generate, but that does not make it trustworthy. This article explains how UX teams can design stronger quality signals using source transparency, validation, confidence communication, and reputation.
Learn how Storybook MCP enables AI agents to understand your component library, generate accurate UI, and validate code using documentation, stories, and automated tests.
Debug RSC hydration mismatches in production with Next.js instrumentation, Suspense isolation, HTML diffing, and CI smoke tests.
Explore why npm dependencies are a major supply chain security risk and how to protect JavaScript apps from compromised packages and transitive threats.
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.
Learn how PMs can replace bloated PRDs with lightweight docs that align teams, reduce risk, and keep AI-assisted development moving.
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 next-browser gives AI agents runtime context for debugging Next.js apps, including React props, hydration, PPR, forms, and performance.
Build dynamic LLM routing in Next.js with OpenRouter, TanStack AI, task classification, model fallbacks, and cost-aware routing.
