MCP Server Builder
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.
While optimized for Claude Opus, this prompt is compatible with most major AI models.
Simulates realistic technical interviews with coding problems, system design questions, and behavioral scenarios with real-time feedback.
Interview simulation prompts became essential tools in the tech job market, with variations shared widely on r/cscareerquestions and Blind. This pattern gained traction because it provides both the question AND the interviewer perspective, giving candidates practice with the meta-skill of communication during problem-solving. The feedback loop with hints mirrors real interviews where candidates can ask clarifying questions.
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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.
Generates complete REST API specifications with endpoints, request/response schemas, authentication, and implementation code.
Guides learning through questions rather than answers, helping developers discover solutions themselves while building deeper understanding.