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 to detect unused and ghost dependencies in JavaScript projects using Knip, a project-level linter that keeps your dependency graph accurate.
Learn how tech PMs can take over inherited products, gather context, clean up backlogs, find quick wins, and make smarter decisions.
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.
From RSC vulnerabilities and the Vercel breach to TypeScript 7.0 Beta and AI agents — the nine frontend storylines that defined H1 2026, ranked.
AI has accelerated design execution, but speed can come at the expense of intentionality. Learn how UX teams can preserve product thinking and judgment.
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.
Learn how PMs can use AI and communication to spot duplicate work early, align teams, and protect engineering capacity.
TSRX adds first-class control flow, conditional hooks, and scoped styles to React via a TypeScript compiler extension — no new framework required.
Audit freemium conversion points by use case to cut clutter, improve UX, and protect long-term revenue from upgrade fatigue.
