3 articles
The best Cursor research workflow is to save web sources as clean local Markdown, then @-mention them as reproducible project context.
Cursor's @-mention works on any text file in your repo. The bottleneck for AI-coding workflows isn't Cursor's intelligence — it's getting outside research material into a format Cursor can @ reference. Here's the workflow that 10x'd my Cursor output.
Stack Overflow answers contain code, syntax highlighting, accepted/edit history, and inline links. Copy-paste into ChatGPT loses most of it. Here's the cleanest way to send a Stack Overflow answer to AI without losing the structure that makes the answer useful.