A detailed walkthrough of a structured workflow for using Cursor AI, focusing on template customization, progress tracking, and agent mode implementation. The post emphasizes the importance of organized development processes and proper prompt engineering when working with AI-assisted coding tools.
Create a Cursor AI workflow that: 1. Uses a base template from cursor.directory 2. Implements progress tracking with .plan and .progress files 3. Enables Agent Mode with YOLO protection 4. Includes step-by-step progress validation 5. Optimizes prompts using reasoning models Requirements: - Maintain documentation of progress - Prevent accidental code deletions - Include manual review checkpoints - Support template customization
Start with existing .cursorrules templates and customize them for specific needs
Maintain .plan and .progress files for workflow documentation
Begin with carefully designed prompts, using reasoning models for optimization
Don't run Agent Mode without YOLO protection for preventing accidental deletions
Don't proceed without reviewing changes in .progress file between steps
A comprehensive guide on effectively using Cursor AI in larger codebases, focusing on project organization, documentation management, and workflow optimization. The post details specific strategies for maintaining project structure, handling documentation, and ensuring consistent development practices with Cursor AI integration.
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 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 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.