Reddit 上的一场讨论探讨了 Cursor 的调试模式在处理 AI 生成代码方面的实用性。用户正在质疑其与传统提示方法在修复 bug 方面的效果，并寻求有关替代工具或工作流程的建议。对话凸显了由于不理想的提示策略而可能过度依赖调试模式。 AI
影响 探讨用户情绪以及 AI 辅助编码工具的潜在工作流程改进。
排序理由 用户对特定产品功能的讨论。
AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →
Cursor IDE 用户讨论 AI 调试模式的有效性
本文如何被排名
- Signal score
- 0 / 100
- Composite score across the factors below. Higher = stronger signal that this story matters right now.
- Newsworthiness bucket
- Commentary
- 用户对特定产品功能的讨论。
- Source corroboration
- Single-source cluster
- Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
- Topics
- product, opinion
- Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
- AI-industry relevance
- High
- Clearly on-topic for AI-industry coverage.
- Story freshness
- 1 days old
- Coverage has settled into its steady-state source set.
完整方法见我们的编辑标准。
报道来源 [1]
-
还有人在用 Debug Mode 吗？
<!-- SC_OFF --><div class="md"><p>I actually find Cursor’s Debug mode pretty useful, but I’m starting to wonder if I’m relying on it because my normal workflow/prompting isn’t great.</p> <p>Im currently working on a pretty complex stack and I use the debug most a lot because it f…