A developer discusses productivity challenges with Cursor's AI composer, specifically the context-switching issues during code generation wait times. The post highlights how brief AI inference delays can lead to workflow interruptions and distractions, similar to traditional compilation time issues but with more potential for distraction.
How can developers maintain focus and productivity when using AI code generation tools with noticeable inference times? Specific requirements: - Minimize context switching during AI processing - Maintain development flow and mental context - Effectively utilize short wait periods - Prevent distractions from breaking workflow Please provide practical strategies and tools that can be implemented in a development environment.
Batch AI assistance requests to minimize context switching
Have small, related development tasks ready for AI processing times
Don't keep distracting applications (social media, Reddit) easily accessible during development
Avoid completely disengaging from the development process during AI generation
User shares positive feedback about Haiku 3.5's integration with Cursor, highlighting its improved performance and effectiveness in GUI design and app development using Composer. The post emphasizes Haiku's focused approach compared to Claude's more creative tendencies, noting faster response times and shorter queues.
A developer shares their frustrating experience with Cursor AI, where the majority of development time (5.5 out of 6 hours) was spent correcting the AI's mistakes and dealing with unresponsive behavior. The post highlights current limitations of AI-assisted coding tools and suggests they aren't yet mature enough for efficient development.
A detailed comparison of three major AI coding tools (Bolt, v0, and Cursor) based on hands-on experience. The analysis covers each tool's strengths, limitations, and ideal use cases, with particular focus on their applicability for different skill levels and project types. The post emphasizes the importance of actual coding skills while leveraging AI tools for enhanced productivity.
A user experienced issues with Cursor AI making unauthorized code modifications beyond requested changes. In response, they developed a ruleset to constrain Cursor's behavior and prevent scope creep in code improvements.
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.