Promptables PATCH: Complete User Guide
What is Promptables PATCH?
Promptables PATCH is your debugging companion that generates structured, comprehensive debugging prompts for AI coding tools. Instead of sending vague bug reports that lead to generic solutions, PATCH creates detailed templates that help AI coders like Lovable.dev, Bolt.new, and Cursor understand exactly what's wrong and provide precise fixes.
The Problem PATCH Solves
Typical Bug Report
"My form doesn't work"
"The button is broken"
"Nothing happens when I click"
PATCH-Enhanced Report
Structured template with:
- Detailed bug description
- Current vs expected behavior
- Step-by-step reproduction
- Environment details
- Additional context
How PATCH Works
1
Report Your Issue
Describe your bug in simple terms to PATCH
2
Get Structured Template
PATCH generates a comprehensive debugging prompt
3
Fill in Details
Complete the template with your specific information
4
Copy & Paste
Use the complete prompt in your AI coding tool
The PATCH Template Structure
1. Bug Description
Purpose: Clear, concise summary of the issue
Example: "Name field in signup form is not accepting any input."
2. Current Behavior
What to include:
- Observable symptoms
- Console errors (or lack thereof)
- Data handling issues
- User experience problems
3. Expected Behavior
What to include:
- How it should work
- Correct data flow
- Expected user experience
- Desired outcomes
4. Steps to Reproduce
Detailed walkthrough:
- Step-by-step instructions
- Specific user actions
- Navigation paths
- Input values used
5. Environment Details
Technical context:
- Components and routes
- Libraries and frameworks
- Authentication systems
- Database connections
6. Additional Context
Extra information:
- Recent changes made
- Related dependencies
- System relationships
- Validation rules
Real Example: Form Input Bug
User's Initial Report
"Name field in signup form is not accepting any input."
PATCH's Enhanced Template
I'm experiencing an issue with the name field in my signup form not accepting any input. Here are the details:
Bug Description:
The name field in the signup form is not accepting any input when users try to type in it.
Current Behavior:
- Name field doesn't respond to keyboard input
- No visible errors in the browser console
- Form submission either fails or includes empty name value
- Other form fields may or may not be working correctly
Expected Behavior:
- Name field should accept text input like all other fields
- Input should be reflected in form state
- Form should submit with the entered name value
Steps to Reproduce:
1. Navigate to the signup page/route
2. Click on the name input field
3. Try typing any characters
Environment:
- Component: [specify the form component name]
- Route: [specify the route]
- Form Library: [React Hook Form, Formik, etc.]
- Authentication: [Supabase, Firebase, etc.]
Additional Context:
- When was this last working?
- Using form validation libraries?
- Controlled or uncontrolled input?
- Any specific attributes preventing input?
Compatible AI Coding Tools
PATCH works perfectly with:
- Lovable.dev - Full-stack development platform
- Bolt.new - AI-powered coding assistant
- Cursor - AI-first code editor
- Replit - Collaborative coding environment
- Vercel v0 - AI UI generator
- Firebase - Backend development tools
Types of Bugs PATCH Handles
Frontend Issues
- Form input problems
- Button click handlers
- Component rendering issues
- State management bugs
- CSS styling problems
Backend Integration
- API connection failures
- Database query issues
- Authentication problems
- Data validation errors
- Server response handling
Authentication & Security
- Login/signup failures
- Session management
- Protected route access
- Token handling issues
- Permission problems
Best Practices for Using PATCH
Writing Effective Initial Bug Reports
- Be Specific: "Login button doesn't work" vs "Login button shows loading state but doesn't redirect after successful authentication"
- Include Context: Mention what you were trying to accomplish
- Note Timing: When did this start happening?
- Environment Details: What browser, device, or setup are you using?
Completing PATCH Templates Effectively
Don't Skip Sections:
Each section of the PATCH template serves a purpose. Even if you think a section doesn't apply, include it with "Not applicable" or "Unknown" rather than leaving it blank.
Gathering Information Before Using PATCH
Have Ready:
- Console error messages (screenshots help)
- Network tab information for API calls
- Component names and file paths
- Recent code changes made
- Browser developer tools output
Credit Optimization Strategies
Maximize PATCH Efficiency
- Batch Related Issues: If you have multiple related bugs, mention them all in one PATCH session
- Prepare Information: Gather all relevant details before starting your PATCH session
- Use Detailed Initial Reports: The more context you provide upfront, the better PATCH's template will be
- Save Good Templates: Keep PATCH templates for similar future issues
When to Use PATCH vs Direct AI Coding
Use PATCH For:
- Complex, multi-symptom bugs
- Issues you can't easily describe
- Problems that need detailed context
- Bugs that affect multiple systems
Direct AI Coding For:
- Simple syntax errors
- Clear, single-issue bugs
- Quick styling fixes
- Obvious implementation problems
Common Pitfalls & How to Avoid Them
Pitfall 1: Vague Problem Descriptions
Poor Description
"Something is broken"
"It doesn't work"
"There's an error"
Better Description
"User registration form submits but doesn't create account in Supabase"
"Dashboard charts don't load data from API"
"Authentication redirects to 404 page instead of dashboard"
Pitfall 2: Incomplete Template Information
Fill Every Section: PATCH templates are designed to be comprehensive. Incomplete information leads to generic solutions that might not address your specific problem.
Pitfall 3: Not Testing PATCH Solutions
Always Verify: After implementing PATCH's suggested fix, test thoroughly and report back if the issue persists. This helps refine the solution.
Advanced PATCH Use Cases
Complex Integration Bugs
Initial Report: "My app crashes when users try to upload files"
PATCH Template Covers:
- File upload component behavior
- Server-side handling issues
- Database storage problems
- User feedback mechanisms
- Error boundary implementation
- File size and type validation
Performance Issues
Initial Report: "My dashboard is really slow"
PATCH Template Covers:
- Specific performance metrics
- Component rendering behavior
- API call timing and frequency
- Database query performance
- Memory usage patterns
- User experience impact
Authentication Flow Problems
Initial Report: "Users can't log in"
PATCH Template Covers:
- Login form behavior
- Authentication service integration
- Session management
- Redirect logic
- Error message display
- Security considerations
Integration with Development Workflow
PATCH in Your Debug Process
- Identify Issue: Notice something isn't working as expected
- Gather Information: Check console, network, and user behavior
- Use PATCH: Create structured debugging prompt
- AI Coding Tool: Apply PATCH template to get specific solution
- Implement Fix: Apply the suggested changes
- Test & Verify: Confirm the issue is resolved
- Document: Save the solution for future reference
Measuring PATCH Success
Signs PATCH is Working:
- AI coders provide more targeted solutions
- Fewer iterations needed to fix bugs
- Solutions address root causes, not just symptoms
- Reduced debugging time overall
- Better understanding of your own code issues
Troubleshooting PATCH
When PATCH Templates Don't Lead to Solutions
Next Steps:
- Return to PATCH with additional information discovered
- Include the attempted solution and why it didn't work
- Provide more environmental context
- Consider if the issue might be in a different component/system
Getting More Specific Templates
Provide Context: The more specific your initial bug report to PATCH, the more targeted the resulting template will be. Include component names, error messages, and specific behaviors.
Ready to Debug More Effectively?
Promptables PATCH transforms frustrating debugging sessions into structured problem-solving. Instead of sending vague bug reports, you'll provide AI coders with comprehensive information that leads to precise solutions.
Remember: Be specific in your initial reports, complete every section of the template, and always test the solutions provided.