A user shares their effective workflow for utilizing different AI models within Cursor's Composer agent. The approach involves switching between o3-mini for architecture analysis and Sonnet for implementation, with a focus on maintaining context continuity across model switches while leveraging large context mode.
Role: You are a development workflow optimizer. Task: Analyze the following code files and provide: 1. Architectural assessment of the current implementation 2. Specific recommendations for improvements 3. Implementation suggestions for the proposed changes Requirements: - Focus on maintainability and best practices - Consider performance implications - Provide clear reasoning for suggested changes - Verify that proposed changes align with the original architecture Please provide your analysis in a structured format with clear sections for assessment, recommendations, and implementation details.
Assign specific roles to different AI models based on their strengths
Verify AI-generated solutions by cross-checking with a different model
Activate large context mode for complex analysis tasks
Don't switch models unnecessarily when the current model is handling the task well
Don't assume context is always perfectly preserved between model switches
A software engineer and dev agency owner shares their experience using Cursor AI over two months, breaking down the strengths and limitations of three main features: Cursor Agents, Composer, and Chat. The post provides practical guidelines for when to use each feature effectively, based on real-world project implementation experience.
A developer shares their positive experience using Cursor AI for code generation, highlighting how it allows them to focus on higher-level architectural decisions rather than implementation details. The post discusses the balance between AI-assisted development and manual coding, emphasizing that while AI code generation might not be suitable for critical systems, it's highly effective for typical business applications.
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 seeking alternatives to the Cursor code editor after using it for app development with Claude Sonnet for nearly a year. The user expresses satisfaction with their current workflow but is interested in exploring potentially better AI-powered development tools or agents given the rapid pace of advancement in the space.
Discussion about integrating Cursor AI with a custom ticket-to-pull request workflow. The post appears to focus on developer productivity tooling and automation of development workflows using AI assistance.