# Tryboy869 Dojutsu For AI Nextjs15 React19 Vercelai Tailwind Cursorrules Prompt File > nextjs15-react19-vercelai-tailwind-cursorrules-prompt-file - Skill: `tomevault-io/tryboy869-dojutsu-for-ai-nextjs15-react19-vercelai-tailwind-` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/tryboy869-dojutsu-for-ai-nextjs15-react19-vercelai-tailwind-` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/tryboy869-dojutsu-for-ai-nextjs15-react19-vercelai-tailwind-/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Web & Frontend - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/tryboy869-dojutsu-for-ai-nextjs15-react19-vercelai-tailwind- --- # nextjs15-react19-vercelai-tailwind-cursorrules-prompt-file --- description: Error handling patterns for Next.js 15 and React 19 applications, including error boundaries, API error handling, and graceful degradation strategies. globs: app/**/* --- - Use React Error Boundaries to catch rendering errors in component trees. - Implement proper error logging with tools like Sentry or LogRocket. - Use try/catch blocks for handling asynchronous operations and API calls. - Implement proper HTTP status codes for API responses (4xx for client errors, 5xx for server errors). - Use Next.js error pages (`error.tsx`, `not-found.tsx`, `global-error.tsx`) for different error scenarios. - Implement proper error messages for users that are informative but not expose sensitive information. - Use error recovery patterns like retry mechanisms for transient failures. - Implement proper validation for user inputs to prevent errors before they occur. - Use centralized error handling for API calls with interceptors or wrapper functions. - Implement proper fallback UI components for error states. - Use error boundaries at appropriate levels in the component hierarchy. - Implement proper error tracking in production with error monitoring services. - Use proper error serialization when passing errors from server to client. - Implement timeout mechanisms for API calls to prevent hanging requests. - Use circuit breaker patterns for external service dependencies. - Implement proper error handling for server actions and form submissions. - Use error codes instead of generic error messages for better debugging. - Implement proper error handling for streaming responses from AI services. - Use environment-specific error handling (more verbose in development, less in production). - Implement proper error boundaries for React Server Components. - Use proper error handling for database operations with connection pooling. - Implement proper error handling for file uploads and processing. - Use proper error handling for authentication and authorization failures. - Implement proper error handling for third-party API integrations. - Use proper error handling for WebSocket connections and real-time features. --- > Source: [Tryboy869/dojutsu-for-ai](https://github.com/Tryboy869/dojutsu-for-ai) — distributed by [TomeVault](https://tomevault.io).