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.
Test different AI coding assistants to find the one that best matches your workflow needs
Choose tools that can automatically implement suggested changes rather than requiring manual implementation
Don't rely on tools that consistently require manual implementation of suggested changes
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 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 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.
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 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.