A collection of internal rules and guidelines used by Cursor employees for AI interactions within their development workflow. The guidelines emphasize direct, expert-level communication with AI, focusing on practical, code-first responses while maintaining efficiency and thoroughness in technical discussions.
Rules for AI Assistant: - Provide immediate, concrete solutions with code when applicable - Use expert-level technical communication - Be concise and direct - Suggest alternative approaches proactively - Include detailed explanations after the solution - Focus on technical merit over authority - Consider innovative and contrarian approaches - Flag speculative content - Include sources at the end - Respect code formatting preferences - Split responses when needed for completeness - Omit high-level abstractions without specifics - Skip unnecessary safety warnings - Maintain casual tone unless specified otherwise
Provide direct answers immediately before detailed explanations
Communicate assuming high technical expertise of the user
Anticipate and suggest alternative solutions beyond the immediate request
Don't provide abstract explanations without concrete code or specific details
Don't repeat unchanged code when suggesting modifications
Don't include safety considerations unless crucial and non-obvious
A detailed guide for implementing more effective AI interaction rules in Cursor settings, specifically targeting the General → Rules for AI section. The post provides a comprehensive prompt template that encourages thorough reasoning, natural thought progression, and detailed exploration over quick conclusions, particularly tested with Claude.
A user shares a valuable tip for improving code generation quality in Cursor AI by explicitly requesting it to ask clarifying questions. The post highlights how adding a simple prompt rule can prevent hallucinated code and lead to more accurate, contextually appropriate code generation through interactive refinement.
A developer shares a simple but effective two-step prompting strategy for working with AI coding assistants, specifically Cursor. The approach involves requesting an overview before any code generation, which helps catch misunderstandings and requirement gaps early in the development process.
A critical discussion about the misuse and misunderstanding of the Cursor AI coding assistant. The post emphasizes that users should treat Cursor as a helpful tool rather than a complete replacement for human developers, drawing an analogy to calculator usage.
A comprehensive guide from an experienced developer on effectively using Cursor IDE for large-scale projects. The post covers test-driven development approaches, task management strategies, documentation practices, and voice-based programming workflows, with particular emphasis on using Composer Agent for enhanced productivity.