Files
cim_summary/Best Practices for Debugging with Cursor_ Becoming.md
admin 9c916d12f4 feat: Production release v2.0.0 - Simple Document Processor
Major release with significant performance improvements and new processing strategy.

## Core Changes
- Implemented simple_full_document processing strategy (default)
- Full document → LLM approach: 1-2 passes, ~5-6 minutes processing time
- Achieved 100% completeness with 2 API calls (down from 5+)
- Removed redundant Document AI passes for faster processing

## Financial Data Extraction
- Enhanced deterministic financial table parser
- Improved FY3/FY2/FY1/LTM identification from varying CIM formats
- Automatic merging of parser results with LLM extraction

## Code Quality & Infrastructure
- Cleaned up debug logging (removed emoji markers from production code)
- Fixed Firebase Secrets configuration (using modern defineSecret approach)
- Updated OpenAI API key
- Resolved deployment conflicts (secrets vs environment variables)
- Added .env files to Firebase ignore list

## Deployment
- Firebase Functions v2 deployment successful
- All 7 required secrets verified and configured
- Function URL: https://api-y56ccs6wva-uc.a.run.app

## Performance Improvements
- Processing time: ~5-6 minutes (down from 23+ minutes)
- API calls: 1-2 (down from 5+)
- Completeness: 100% achievable
- LLM Model: claude-3-7-sonnet-latest

## Breaking Changes
- Default processing strategy changed to 'simple_full_document'
- RAG processor available as alternative strategy 'document_ai_agentic_rag'

## Files Changed
- 36 files changed, 5642 insertions(+), 4451 deletions(-)
- Removed deprecated documentation files
- Cleaned up unused services and models

This release represents a major refactoring focused on speed, accuracy, and maintainability.
2025-11-09 21:07:22 -05:00

23 KiB

Best Practices for Debugging with Cursor: Becoming a Senior Developer-Level Debugger

Transform Cursor into an elite debugging partner with these comprehensive strategies, workflow optimizations, and hidden power features that professional developers use to maximize productivity.

Core Debugging Philosophy: Test-Driven Development with AI

Write Tests First, Always

The single most effective debugging strategy is implementing Test-Driven Development (TDD) with Cursor. This gives you verifiable proof that code works before deployment1 2 3 .

Workflow:

  • Start with: "Write tests first, then the code, then run the tests and update the code until tests pass"1
  • Enable YOLO mode (Settings → scroll down → enable YOLO mode) to allow Cursor to automatically run tests, build commands, and iterate until passing1 4
  • Let the AI cycle through test failures autonomously—it will fix lint errors and test failures without manual intervention1 5

YOLO Mode Configuration: Add this prompt to YOLO settings:

any kind of tests are always allowed like vitest, npm test, nr test, etc. also basic build commands like build, tsc, etc. creating files and making directories (like touch, mkdir, etc) is always ok too

This enables autonomous iteration on builds and tests1 4 .

Advanced Debugging Techniques

1. Log-Driven Debugging Workflow

When facing persistent bugs, use this iterative logging approach1 6 :

  • Tell Cursor: "Please add logs to the code to get better visibility into what is going on so we can find the fix. I'll run the code and feed you the logs results"1
  • Run your code and collect log output
  • Paste the raw logs back into Cursor: "Here's the log output. What do you now think is causing the issue? And how do we fix it?"1
  • Cursor will propose targeted fixes based on actual runtime behavior

For Firebase Projects: Use the logger SDK with proper severity levels7 :

const { log, info, debug, warn, error } = require("firebase-functions/logger");

// Log with structured data
logger.error("API call failed", {
  endpoint: endpoint,
  statusCode: response.status,
  userId: userId
});

2. Autonomous Workflow with Plan-Approve-Execute Pattern

Use Cursor in Project Manager mode for complex debugging tasks5 8 :

Setup .cursorrules file:

You are working with me as PM/Technical Approver while you act as developer.
- Work from PRD file one item at a time
- Generate detailed story file outlining approach
- Wait for approval before executing
- Use TDD for implementation
- Update story with progress after completion

Workflow:

  • Agent creates story file breaking down the fix in detail
  • You review and approve the approach
  • Agent executes using TDD
  • Agent runs tests until all pass
  • Agent pushes changes with clear commit message5 8

This prevents the AI from going off-track and ensures deliberate, verifiable fixes.

Context Management Mastery

3. Strategic Use of @ Symbols

Master these context references for precise debugging9 10 :

  • @Files - Reference specific files
  • @Folders - Include entire directories
  • @Code - Reference specific functions/classes
  • @Docs - Pull in library documentation (add libraries via Settings → Cursor Settings → Docs)4 9
  • @Web - Search current information online
  • @Codebase - Search entire codebase (Chat only)
  • @Lint Errors - Reference current lint errors (Chat only)9
  • @Git - Access git history and recent changes
  • @Recent Changes - View recent modifications

Pro tip: Stack multiple @ symbols in one prompt for comprehensive context9 .

4. Reference Open Editors Strategy

Keep your AI focused by managing context deliberately11 :

  • Close all irrelevant tabs
  • Open only files related to current debugging task
  • Use @ to reference open editors
  • This prevents the AI from getting confused by unrelated code11

5. Context7 MCP for Up-to-Date Documentation

Integrate Context7 MCP to eliminate outdated API suggestions12 13 14 :

Installation:

// ~/.cursor/mcp.json
{
  "mcpServers": {
    "context7": {
      "command": "npx",
      "args": ["-y", "@upstash/context7-mcp@latest"]
    }
  }
}

Usage:

use context7 for latest documentation on [library name]

Add to your cursor rules:

When referencing documentation for any library, use the context7 MCP server for lookups to ensure up-to-date information

Power Tools and Integrations

6. Browser Tools MCP for Live Debugging

Debug live applications by connecting Cursor directly to your browser15 16 :

Setup:

  1. Clone browser-tools-mcp repository
  2. Install Chrome extension
  3. Configure MCP in Cursor settings:
{
  "mcpServers": {
    "browser-tools": {
      "command": "node",
      "args": ["/path/to/browser-tools-mcp/server.js"]
    }
  }
}
  1. Run the server: npm start

Features:

  • "Investigate what happens when users click the pay button and resolve any JavaScript errors"
  • "Summarize these console logs and identify recurring errors"
  • "Which API calls are failing?"
  • Automatically captures screenshots, console logs, network requests, and DOM state15 16

7. Sequential Thinking MCP for Complex Problems

For intricate debugging requiring multi-step reasoning17 18 19 :

Installation:

{
  "mcpServers": {
    "sequential-thinking": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-sequential-thinking"]
    }
  }
}

When to use:

  • Breaking down complex bugs into manageable steps
  • Problems where the full scope isn't clear initially
  • Analysis that might need course correction
  • Maintaining context over multiple debugging steps17

Add to cursor rules:

Use Sequential thinking for complex reflections and multi-step debugging

8. Firebase Crashlytics MCP Integration

Connect Crashlytics directly to Cursor for AI-powered crash analysis20 21 :

Setup:

  1. Enable BigQuery export in Firebase Console → Project Settings → Integrations
  2. Generate Firebase service account JSON key
  3. Configure MCP:
{
  "mcpServers": {
    "crashlytics": {
      "command": "node",
      "args": ["/path/to/mcp-crashlytics-server/dist/index.js"],
      "env": {
        "GOOGLE_SERVICE_ACCOUNT_KEY": "/path/to/service-account.json",
        "BIGQUERY_PROJECT_ID": "your-project-id",
        "BIGQUERY_DATASET_ID": "firebase_crashlytics"
      }
    }
  }
}

Usage:

  • "Fetch the latest Crashlytics issues for my project"
  • "Add a note to issue xyz summarizing investigation"
  • Use crashlytics:connect command for structured debugging flow20 21

Cursor Rules & Configuration

9. Master .cursorrules Files

Create powerful project-specific rules22 23 24 :

Structure:

# Project Overview
[High-level description of what you're building]

# Tech Stack
- Framework: [e.g., Next.js 14]
- Language: TypeScript (strict mode)
- Database: [e.g., PostgreSQL with Prisma]

# Critical Rules
- Always use strict TypeScript - never use `any`
- Never modify files without explicit approval
- Always read relevant files before making changes
- Log all exceptions in catch blocks using Crashlytics

# Deprecated Patterns (DO NOT USE)
- Old API: `oldMethod()`- Use instead: `newMethod()`# Common Bugs to Document
[Add bugs you encounter here so they don't recur]

Pro Tips:

  • Document bugs you encounter in .cursorrules so AI avoids them in future23
  • Use cursor.directory for template examples11 23
  • Stack multiple rule files: global rules + project-specific + feature-specific24
  • Use .cursor/rules directory for organized rule management24 25

10. Global Rules Configuration

Set personal coding standards in Settings → Rules for AI11 4 :

- Always prefer strict types over any in TypeScript
- Ensure answers are brief and to the point
- Propose alternative solutions when stuck
- Skip unnecessary elaborations
- Emphasize technical specifics over general advice
- Always examine relevant files before taking action

11. Notepads for Reusable Context

Use Notepads to store debugging patterns and common fixes11 26 27 28 :

Create notepads for:

  • Common error patterns and solutions
  • Debugging checklists for specific features
  • File references for complex features
  • Standard prompts like "code review" or "vulnerability search"

Usage: Reference notepads in prompts to quickly load debugging context without retyping27 28 .

Keyboard Shortcuts for Speed

Essential Debugging Shortcuts29 30 31 :

Core AI Commands:

  • Cmd/Ctrl + K - Inline editing (fastest for quick fixes)1 32 30
  • Cmd/Ctrl + L - Open AI chat30 31
  • Cmd/Ctrl + I - Open Composer30
  • Cmd/Ctrl + Shift + I - Full-screen Composer30

When to use what:

  • Use Cmd+K for fast, localized changes to selected code1 32
  • Use Cmd+L for questions and explanations31
  • Use Cmd+I (Composer) for multi-file changes and complex refactors32 4

Navigation:

  • Cmd/Ctrl + P - Quick file open29 33
  • Cmd/Ctrl + Shift + O - Go to symbol in file33
  • Ctrl + G - Go to line (for stack traces)33
  • F12 - Go to definition29

Terminal:

  • `Cmd/Ctrl + `` - Toggle terminal29 30
  • Cmd + K in terminal - Clear terminal (note: may need custom keybinding)34 35

Advanced Workflow Strategies

12. Agent Mode with Plan Mode

Use Plan Mode for complex debugging36 37 :

  1. Hit Cmd+N for new chat
  2. Press Shift+Tab to toggle Plan Mode
  3. Describe the bug or feature
  4. Agent researches codebase and creates detailed plan
  5. Review and approve before implementation

Agent mode benefits:

  • Autonomous exploration of codebase
  • Edits multiple files
  • Runs commands automatically
  • Fixes errors iteratively37 38

13. Composer Agent Mode Best Practices

For large-scale debugging and refactoring39 5 4 :

Setup:

  • Always use Agent mode (toggle in Composer)
  • Enable YOLO mode for autonomous execution5 4
  • Start with clear, detailed problem descriptions

Workflow:

  1. Describe the complete bug context in detail
  2. Let Agent plan the approach
  3. Agent will:
    • Pull relevant files automatically
    • Run terminal commands as needed
    • Iterate on test failures
    • Fix linting errors autonomously4

Recovery strategies:

  • If Agent goes off-track, hit stop immediately
  • Say: "Wait, you're way off track here. Reset, recalibrate"1
  • Use Composer history to restore checkpoints40 41

14. Index Management

Keep your codebase index fresh11 :

Manual resync: Settings → Cursor Settings → Resync Index

Why this matters:

  • Outdated index causes incorrect suggestions
  • AI may reference deleted files
  • Prevents hallucinations about code structure11

15. Error Pattern Recognition

Watch for these warning signs and intervene1 42 :

  • AI repeatedly apologizing
  • Same error occurring 3+ times
  • Complexity escalating unexpectedly
  • AI asking same diagnostic questions repeatedly

When you see these:

  • Stop the current chat
  • Start fresh conversation with better context
  • Add specific constraints to prevent loops
  • Use "explain your thinking" to understand AI's logic42

Firebase-Specific Debugging

16. Firebase Logging Best Practices

Structure logs for effective debugging7 43 :

Severity levels:

logger.debug("Detailed diagnostic info")
logger.info("Normal operations")
logger.warn("Warning conditions")
logger.error("Error conditions", { context: details })
logger.write({ severity: "EMERGENCY", message: "Critical failure" })

Add context:

// Tag user IDs for filtering
Crashlytics.setUserIdentifier(userId)

// Log exceptions with context
Crashlytics.logException(error)
Crashlytics.log(priority, tag, message)

View logs:

  • Firebase Console → Functions → Logs
  • Cloud Logging for advanced filtering
  • Filter by severity, user ID, version43

17. Version and User Tagging

Enable precise debugging of production issues43 :

// Set version
Crashlytics.setCustomKey("app_version", "1.2.3")

// Set user identifier
Crashlytics.setUserIdentifier(userId)

// Add custom context
Crashlytics.setCustomKey("feature_flag", "beta_enabled")

Filter crashes in Firebase Console by version and user to isolate issues.

Meta-Strategies

18. Minimize Context Pollution

Project-level tactics:

  • Use .cursorignore similar to .gitignore to exclude unnecessary files44
  • Keep only relevant documentation indexed4
  • Close unrelated editor tabs before asking questions11

19. Commit Often

Let Cursor handle commits40 :

Push all changes, update story with progress, write clear commit message, and push to remote

This creates restoration points if debugging goes sideways.

20. Multi-Model Strategy

Don't rely on one model4 45 :

  • Use Claude 3.5 Sonnet for complex reasoning and file generation5 8
  • Try different models if stuck
  • Some tasks work better with specific models

21. Break Down Complex Debugging

When debugging fails repeatedly39 40 :

  • Break the problem into smallest possible sub-tasks
  • Start new chats for discrete issues
  • Ask AI to explain its approach before implementing
  • Use sequential prompts rather than one massive request

Troubleshooting Cursor Itself

When Cursor Misbehaves:

Context loss issues:46 47 48

  • Check for .mdc glob attachment issues in settings
  • Disable workbench/editor auto-attachment if causing crashes46
  • Start new chat if context becomes corrupted48

Agent loops:47

  • Stop immediately when looping detected
  • Provide explicit, numbered steps
  • Use "complete step 1, then stop and report" approach
  • Restart with clearer constraints

Rule conflicts:49 46

  • User rules may not apply automatically - use project .cursorrules instead49
  • Test rules by asking AI to recite them
  • Check rules are being loaded (mention them in responses)46

Ultimate Debugging Checklist

Before starting any debugging session:

Setup:

  • Enable YOLO mode
  • Configure .cursorrules with project specifics
  • Resync codebase index
  • Close irrelevant files
  • Add relevant documentation to Cursor docs

During Debugging:

  • Write tests first before fixing
  • Add logging at critical points
  • Use @ symbols to reference exact files
  • Let Agent run tests autonomously
  • Stop immediately if AI goes off-track
  • Commit frequently with clear messages

Advanced Tools (when needed):

  • Context7 MCP for up-to-date docs
  • Browser Tools MCP for live debugging
  • Sequential Thinking MCP for complex issues
  • Crashlytics MCP for production errors

Recovery Strategies:

  • Use Composer checkpoints to restore state
  • Start new chat with git diff context if lost
  • Ask AI to recite instructions to verify context
  • Use Plan Mode to reset approach

By implementing these strategies systematically, you transform Cursor from a coding assistant into an elite debugging partner that operates at senior developer level. The key is combining AI autonomy (YOLO mode, Agent mode) with human oversight (TDD, plan approval, checkpoints) to create a powerful, verifiable debugging workflow1 5 8 4 . 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98


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