New from LogRocket: Galileo AI now spots your highest-impact bugs and dispatches them to AI agents in Cursor, Claude Code, or Codex to fix.
Compare the top AI development tools and models of June 2026. View updated rankings, feature breakdowns, and find the best fit for you.
The LogRocket MCP connects your AI agents to Galileo AI. Detect issues, diagnose root causes, and ship fixes from Claude, Cursor, Codex, or your own agent.
A deep dive into May 2026’s AI model and tool rankings. We break down performance, usability, pricing, and real-world capabilities across 50+ features to help you pick the right tools for your development workflow.
Why the future of DX might come from the web platform itself, not more tools or frameworks.
This post walks through a complete six-step image optimization strategy for React apps, demonstrating how the right combination of compression, CDN delivery, modern formats, and caching can slash LCP from 8.8 seconds to just 1.22 seconds.
Learn how PMs can use AI evals to diagnose output quality issues, set pass criteria, and improve AI features with less guesswork.
Explore why npm dependencies are a major supply chain security risk and how to protect JavaScript apps from compromised packages and transitive threats.
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.
I was working with an intern on a UX research project, and before we even started, we both had private […]
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.
AI tools generate working React code fast, but miss race conditions, empty states, debouncing, and accessibility. Here’s how to catch bugs before production.
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.
