AI tools for coding: Cursor, Copilot, Claude Code, v0, Bolt
Chain-of-thought prompting dramatically improves AI refactoring quality. Learn to structure prompts that guide the AI through analysis before making changes — getting safer, better refactors.
Retrieval Augmented Generation (RAG) lets an AI answer questions about your specific content. Build a docs chatbot that cites sources and stays grounded in your actual documentation.
Most React performance problems are caused by unnecessary re-renders. Learn to use the React DevTools Profiler to identify and eliminate them quickly.
Template literal types let you manipulate strings at the type level. Learn how to build auto-completing route params, CSS utility types, and event handler signatures with zero runtime cost.
Vitest is Jest-compatible but runs on Vite's native ESM pipeline — making it 10-20x faster for most projects. Learn how to migrate without breaking your test suite.
Most teams use next/image wrong. This guide reveals 8 advanced techniques—including priority hints, sizes attribute tuning, placeholder blurs, and remote patterns—that dramatically improve your Core Web Vitals and cut LCP in half.
A practical comparison of v0.dev, Bolt, and Lovable for generating React UI components in 2026. We test each tool on the same design tasks to find which produces the most production-ready code.
AI models know accessibility guidelines but don't apply them unless prompted. Learn the specific prompts and constraints that produce genuinely accessible component code.
The useChat hook from the Vercel AI SDK handles streaming, message history, and state management for AI chat. Learn all its options and patterns for building production chat interfaces.
The definitive migration guide for TanStack Query v6. Covers every breaking change, renamed hooks, new devtools setup, and SSR patterns—with before/after code examples so you can migrate your React app without surprises.
Railway makes deploying full-stack Next.js apps with databases trivially easy. This step-by-step guide covers deployment, environment variables, PostgreSQL setup, and production optimization.
The next/image component handles the basics, but real-world image optimization requires understanding formats, sizing strategies, and loading patterns.