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.
Treat AI coding tools as assistive technologies that enhance productivity rather than complete replacements for human judgment
Always review and validate AI-generated suggestions rather than blindly accepting them
Avoid complete dependence on AI coding assistants for development tasks
Avoid attributing development mistakes to AI tools without proper analysis
A web developer shares their experience and best practices for using the Cursor AI code assistant after 6 months of daily usage. The post outlines three main tips: switching between AI models, using example-based code generation for UI components, and leveraging structural examples for data manipulation functions.
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 their positive experience switching from Sourcegraph's Cody to Cursor as their AI coding assistant. The user particularly highlights Cursor's superior code modification capabilities and well-designed interface, noting that it significantly improves their coding workflow compared to Cody's limitations with applying changes.
A developer shares their positive experience using new .mdc cursor/rules files for improved code generation in Convex projects. The implementation demonstrates significant improvement in one-shot code generation compared to previous methods, reducing the need for multiple prompts and showing enhanced effectiveness over traditional documentation-based approaches.
A developer shares their 4-month experience using Cursor Pro, detailing specific workflow optimizations and challenges. The post covers successful strategies like .cursorrules optimization, debug statement usage, and context management, while also highlighting limitations with less common technologies like Firebase/TypeScript, SwiftUI, and Svelte 5.