Update prompting-debugging.mdx

prompting/prompting-debugging.mdx

@@ -31,11 +31,11 @@ Break down the suggestions into an ordered list of steps we could take, from mos
 
 This prompt is long, but it directs the AI to act like a code reviewer or architect. We’ve asked it to find mislocated code, check modularity, and even prioritize the fixes​. The AI might respond with something like:
 
-- \_“1. **__Separate API calls from components:__** The \_`ProjectList`_component is directly fetching data. Suggestion: move data fetching to a dedicated hook or context to keep components pure UI.​_
+1. “**Separate API calls from components:** The `ProjectList` component is directly fetching data. _Suggestion: move data fetching to a dedicated hook or context to keep components pure UI._
+2. **Reduce coupling in Task logic:** The task completion toggle is updating both state and directly writing to localStorage. This should be refactored to have a single source of truth.
+3. **Organize utility functions:** There are utility functions in `App.tsx` that would be better placed in a `utils` folder (e.g., date formatting functions).
+4. ...”
 
-1. **Reduce coupling in Task logic:** The task completion toggle is updating both state and directly writing to localStorage. This should be refactored to have a single source of truth.​
-2. **Organize utility functions:** There are utility functions in `App.tsx` that would be better placed in a `utils` folder (e.g., date formatting functions).
-3. ...”\*
 
 Each point might come with explanation and maybe references to specific files. Such a report helps you see the forest for the trees. It’s especially useful if you’ve been focusing on one feature at a time and haven’t looked at the overall structure in a while.
 
@@ -354,4 +354,4 @@ This guidebook was shared in our community Discord—it might be useful for debu
   <Accordion title="API Integration and Network Management">
     Approach API integration with a comprehensive strategy for requests, responses, and error handling. Verify authentication headers, parameters, and body format for each request. Implement proper error handling for all network operations with specific catches for different error types. Ensure consistent typing between request payloads, expected responses, and application state. Configure proper CORS settings and verify they work across all environments. Implement intelligent retry mechanisms for transient failures with exponential backoff. Consider rate limiting implications and implement appropriate throttling. Add strategic request caching to improve performance and reduce server load. Monitor network performance including request timing and payload sizes. Test API integrations against both happy paths and various failure scenarios. Maintain clear documentation of all API endpoints, their purposes, expected parameters, and response formats to facilitate future development and debugging.
   </Accordion>
-</AccordionGroup>
+</AccordionGroup>