How I made my Cursor/Windsurf workflow ultra productive with...

These models can only think about only 1 next step and that 1 possible step can be wrong 9/10 times.
When we make these predictive LLM models "think" they mess up the codebase.
We can do that by providing them detailed coding plan as coding docs.
Documents include:
- PRD
- App Flow Doc
- Tech Stack Doc
- Frontent Guidelines
- Backend Structure Doc
- cursorrules/windsurfrules
and any other docs you might find useful.
Ask AI to create a PRD for your AI coding project.
Add these sections:
- App Overview: A complete rundown of your app
- User Flow: Step-by-step flow of how users interact with your app.
- Tech Stack & APIs: What tech stack and APIs you'll use
- Core Features: List all core features of your app
- In-scope & Out-of-scope: What's included and what's specifically excluded.
This doc will provide high level overview to Cursor/Windsurf
I use @CodeGuidedev to generate these docs + some custom docs.
CodeGuide uses a mixture of models to write these docs:
- GPT o1
- GPT o3-mini-high
- Sonnet 3.5/3.7
I create docs and attach them in 1-click.
1. Context Boundary is must for coding production-ready apps with AI.
2. Your Coding Docs build this context boundary (PRD, App flow doc, etc)
3. Use @CodeGuidedev to generate coding docs. IT works with all AL model and AI tools)
4. Create "Implementation plan" to use Cursor Agent/Cascade smoothly.








