This guide details the inherent complexities and common pitfalls in GraphQL API development, such as N+1 issues and ambiguous error handling. It highlights how AI assistants like Cursor and Claude Code, trained on GraphQL code, can significantly aid in overcoming these challenges.
This article introduces `@asnd/skill-creator`, a TypeScript CLI designed to convert API surfaces (OpenAPI, GraphQL, MCP) into reusable skills for AI agents. It aims to reduce context waste by enabling coding agents to automate setup work and create durable tools instead of repeatedly parsing documentation.
The content debunks the myth that all APIs are REST, introducing a variety of methods such as SOAP, GraphQL, gRPC, Webhooks, Web Sockets, and WebRTC. It briefly describes REST as the foundation for 90% of applications and details the characteristics of SOAP and GraphQL, including their use cases and advantages.