A developer shares their hands-on experience using Cursor AI with a Pro subscription for web development. The post details practical workflows, integration with Next.js/React stack, and strategies for effective AI-assisted development, including version control practices and custom rules configuration.
Commit changes frequently using automatic commit message generation after each small change or development
Break down complex tasks into smaller, manageable subtasks for AI assistance
Maintain a .cursorrules file with specific programming style guidelines and documentation examples
Don't let AI make changes across multiple files without understanding the approach
Avoid requesting large, complex changes in a single prompt
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.
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 developer shares their successful experience using Cursor AI in a large React monorepo, emphasizing the importance of proper context and documentation. The post details a systematic approach to working with Cursor, including custom rules, documentation practices, and interaction patterns that enable the AI to handle 95% of coding tasks effectively.
A detailed guide on effectively using Cursor AI for web development, particularly for users with minimal coding experience. The post emphasizes the importance of providing proper context through file tagging, documentation links, and structured composer sessions, while offering practical workflows for managing AI-assisted development.
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.