danmarauda

Provides performance optimization guidelines for React and Next.js applications, ensuring optimal coding practices for developers.

Guides users through setting up Better Auth authentication with Convex and TanStack Start, covering installation and configuration.

Guides users in building full-stack applications with Convex and TanStack Start, covering schema design, queries, and authentication.

Provides comprehensive documentation for Vercel AI Elements components, aiding in building conversational AI interfaces with the Vercel AI SDK.

Guides users in creating interactive workflow visualizations using Vercel AI Elements and React Flow in Next.js applications.

Provides comprehensive guidelines for implementing Convex actions, HTTP endpoints, and TypeScript patterns for backend development.

Provides guidelines for implementing Convex mutation functions, covering database operations, transactions, and scheduling patterns.

Provides guidelines for implementing and optimizing Convex query functions, including pagination and full text search.

Facilitates instant deployment of applications and websites to Vercel, providing preview and claim URLs for easy access.

Reviews UI code for compliance with Web Interface Guidelines, ensuring accessibility and adherence to best practices.

Teaches how to create and manage reusable Convex components with proper structure and dependency management for efficient project sharing.

Enables durable execution of complex workflows for multi-step agent operations, ensuring reliability and recovery from failures.

Helps prevent feature creep in software development, ensuring focus on essential features and faster product delivery.

Provides guidelines for building production-ready Convex apps, focusing on best practices in function organization, TypeScript, and error handling.

Facilitates complete file handling in Convex applications, including uploads, serving files via URL, and managing file metadata.

Facilitates safe schema migrations for Convex databases, enabling seamless evolution of applications with zero downtime.

Enables building reactive applications with real-time subscriptions, optimistic updates, and efficient caching using Convex.

Facilitates various Convex development patterns, enabling efficient backend logic, data modeling, and real-time functionalities.

Facilitates the setup and configuration of Convex agents for chat-based AI interactions, enabling efficient conversation management and response generation.

Tracks LLM token usage for billing and optimization, enabling efficient cost management and resource allocation.