API Design Architect
Design robust, scalable REST and GraphQL APIs following industry best practices with comprehensive documentation, versioning strategies, and error handling patterns.
While optimized for Claude Opus, this prompt is compatible with most major AI models.
Generates complete REST API specifications with endpoints, request/response schemas, authentication, and implementation code.
API design prompts consistently rank among the most useful for backend developers. This pattern gained traction because it produces immediately usable specs rather than abstract advice. The inclusion of both OpenAPI spec and implementation code means developers can validate the design before committing to implementation. Particularly popular in startup environments where speed matters but quality can't be sacrificed.
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Design robust, scalable REST and GraphQL APIs following industry best practices with comprehensive documentation, versioning strategies, and error handling patterns.
Create comprehensive API documentation with OpenAPI specs, code examples, authentication guides, and developer-friendly explanations.
Build high-quality Model Context Protocol (MCP) servers to integrate external APIs and services with AI assistants. Follow best practices for tool design, security, and cross-platform compatibility.
Create high-quality Model Context Protocol (MCP) servers to enable AI agents to interact with external APIs and services. Follow best practices for tool design, authentication, error handling, and testing.
Guides AI to articulate step-by-step reasoning before generating code fixes, significantly improving accuracy and reducing logical errors in debugging.
Goes beyond fixing code to explain what was wrong and what the developer likely misunderstood when writing it. Builds understanding, not just fixes.
Guides learning through questions rather than answers, helping developers discover solutions themselves while building deeper understanding.
Professional Gemini 3 AI prompt for Gemini Python Systems Architect. Design scalable, idiomatic Python backend architectures with a focus on performance and maintainability.