Making Changes Effectively
Master the art of modifying and extending your Buzzy application safely and effectively. Learn strategies for AI-powered changes vs manual edits.
The Challenge of Changes
One of the biggest struggles with building in Buzzy: making changes after the initial build without breaking everything.
Non-technical explanation: Think of your Buzzy app like a house. When you want to renovate, you can't just knock down walls randomly—some walls are load-bearing and removing them could collapse the roof. Similarly, changing one part of your app can unexpectedly break other parts. This guide teaches you how to safely renovate your app.
Why making changes is challenging:
Context loss: Buzzy AI loses memory from previous prompts, like talking to someone with amnesia
Ripple effects: Changes can affect related features you didn't think about
Data dependencies: Modifying data structure cascades through all screens that use that data
Consistency maintenance: Need to update all references when you change something
Testing burden: Each change requires verification that nothing else broke
Visual representation of change complexity:
This guide helps you:
Choose the right change strategy for your situation
Minimize risk of breaking existing functionality
Use Buzzy AI v3 effectively for modifications
Know when to use manual edits vs AI prompts
Implement changes systematically and safely
Types of Changes
1. Additive Changes
What it is: Adding new features without modifying existing ones—like adding a new room to your house without changing the existing rooms.
Examples:
Add a new screen (e.g., user profile page)
Add a new field to a datatable (e.g., priority field to tasks)
Add a new datatable (e.g., comments, categories)
Add a new user role (e.g., viewer, moderator)
Add new display rules (e.g., show badges for priority)
Add new navigation options (e.g., quick actions menu)
Strategy: Lowest risk, easiest to implement. Like adding furniture to an empty room—unlikely to break anything.
Step-by-step approach:
Plan the addition: Clearly describe what you're adding and why
Define integration points: How does it connect to existing features?
Start isolated: Build the new feature separately first
Connect gradually: Link to existing features one connection at a time
Test thoroughly: Verify new feature works AND existing features still work
Sample Buzzy AI v3 prompts for additive changes:
Example 1 - Add Comments System:
Example 2 - Add Priority Field:
Example 3 - Add New Screen:
Benefits of additive changes:
✅ Minimal risk of breaking existing features
✅ Easy to test (test new feature + quick regression test)
✅ Easy to remove if it doesn't work out
✅ Clear scope—you know exactly what you're adding
✅ Users can continue using existing features while you build
When to choose additive approach:
Adding optional features or enhancements
Expanding functionality without changing core workflows
When you're unsure about the change (easy to remove later)
Building iteratively (add piece by piece)
Working with limited development time
2. Modification Changes
What it is: Changing existing features—like renovating a room that's already in use. More complex because you need to maintain functionality while updating.
Examples:
Change field type (date → date-time, text → dropdown)
Modify validation rules (make optional field required, change max length)
Update UI layout (table → cards, single column → multi-column)
Alter navigation flow (redirect users to different screen after action)
Change calculations or formulas
Update display rules or conditional logic
Strategy: Medium risk, requires careful specification and thorough testing.
Step-by-step approach:
Document current state: How does it work now? What are all the places this feature is used?
Define exact changes: What specifically needs to change? What stays the same?
Identify ripple effects: What other features might be affected?
Plan migration: How do you handle existing data?
Test comprehensively: Changed feature + all related features
Sample Buzzy AI v3 prompts for modification changes:
Example 1 - Change Field Type:
Example 2 - Change UI Layout:
Example 3 - Change Validation Rules:
Risks and mitigation strategies:
Breaking existing data
Test with real data, plan migration carefully
Affecting unrelated features
List all places feature is used, test each one
User confusion from changes
Document changes, consider gradual rollout
Performance degradation
Test with realistic data volumes
Lost functionality
Explicitly specify what should stay the same
When to choose modification approach:
Existing feature has fundamental issues that need fixing
User feedback indicates current implementation is confusing
Business requirements have changed
Performance or usability improvements needed
Compliance or security updates required
3. Removal Changes
What it is: Deleting features or components
Examples:
Remove a screen
Delete a field
Remove a feature
Deprecate a workflow
Strategy: Highest risk due to dependencies
Approach:
Identify all places using the feature
Remove references before removing feature
Consider cascading deletes
Test that nothing breaks
Better: Often better to hide/disable than delete
4. Restructuring Changes
What it is: Reorganizing without changing behavior
Examples:
Rename Datatables
Reorganize navigation
Restructure data relationships
Change screen layouts
Strategy: High risk of subtle breakage
Approach:
Use Buzzy's visual editor for careful changes
Test after each step
Use AI for consistent renaming across app
Verify all references in Data and Design tabs updated
Change Strategies
Strategy 1: Surgical Precision
When to use: Small, isolated changes
How:
Identify the exact location of change
Make minimal modification
Verify change
Stop
Example Buzzy prompt: "On the task detail screen, change the 'Mark Complete' button color to green and the text to 'Complete Task'"
Advantages:
Fast
Low risk
Easy to verify
Easy to undo
Disadvantages:
Not suitable for widespread changes
Can miss related updates needed
Strategy 2: Iterative Expansion
When to use: Adding related features over time
How:
Add simplest version first
Test and refine
Add next layer of complexity
Repeat
Example:
Advantages:
Control complexity
Easy to test incrementally
Can stop when "good enough"
Learn as you go
Disadvantages:
Takes longer
Need to maintain context between iterations
Strategy 3: Parallel Development
When to use: Major feature additions
How:
Build new feature separately
Test thoroughly in isolation
Integrate with main app
Enable progressively
Example:
Advantages:
Can develop without breaking main app
Easier testing
Can abandon if needed
Controlled rollout
Disadvantages:
More upfront work
Integration can be tricky
Potential consistency issues
Strategy 4: Replace Not Modify
When to use: Major changes to existing features
How:
Build new version alongside old
Test new version
Switch over
Remove old version
Example:
Advantages:
Can compare old vs new
Easy rollback
No downtime
Safe
Disadvantages:
Maintain two versions temporarily
More complex deployment
Best Practices for Changes
1. Understand Current State First
Before changing anything:
Review:
How does it currently work?
What will be affected?
Are there dependencies?
Test:
Verify current behavior
Document current state
Capture before screenshots
Don't: Start changing without understanding current implementation
2. Start with Clear Requirements
Define:
What exactly needs to change?
What's the expected result?
What shouldn't change?
Document:
Write down the change clearly
Note any assumptions
List success criteria
Bad: "Make the form better"
Good: "Add real-time validation to email field showing 'Invalid email format' immediately when user types an invalid email, similar to how password validation currently works"
3. Make One Change at a Time
Don't: Try to fix multiple things in one prompt
Do:
Change one thing
Test it
Move to next change
Why:
Easier to debug if something breaks
Clearer cause and effect
Can roll back individually
4. Test Immediately
After every change:
Test the changed feature
Test related features
Check for regressions
Verify data integrity
Don't wait: Testing later makes it hard to identify which change caused issues
5. Keep Context Explicit
In your prompts, include:
What exists currently
What you're changing
What should remain the same
Example: "In the Tasks datatable (which currently has title, description, status, assignee, due_date), add a 'priority' selectlist field with options: Low, Medium, High, Urgent. Don't change any existing fields. Display priority on the task list as a colored badge."
6. Document as You Go
Keep notes on:
Changes made
Reasons for changes
Issues encountered
Workarounds used
Why: Essential for future maintenance and debugging
7. Use Buzzy's Version Control
Before major changes:
Save current version in Buzzy's Versions tab
Use descriptive version name
Document what's working
After successful changes:
Save new version with clear description
Keep stable versions for rollback
See: Rollback Strategies
Handling Cascading Changes
Some changes affect multiple parts:
Example: Renaming an Entity
Scenario: Rename "Projects" datatable to "Workspaces"
Affected areas in Buzzy:
Datatable name in Data tab
All screen references in Design tab
Navigation menu
Form labels and field names
Related datatable references (Linked Fields, Subtables)
Display rules and actions
Strategy:
List all affected areas first
Use Buzzy AI for consistent renaming: "Rename the Projects datatable to Workspaces throughout the application, including all screen labels, navigation, and field references"
Review changes in Data and Design tabs
Test all features that touched Projects/Workspaces
Test in preview mode
Example: Changing Data Structure
Scenario: Split "due_date" into "start_date" and "end_date"
Affected areas in Buzzy:
Datatable fields in Data tab
Forms (create/edit screens)
Display views (list, detail screens)
Sort fields
Filter fields
Date-based formulas (JSONATA)
Display rules using due_date
Strategy:
Add new fields first (don't remove old yet) in Data tab
Manually update existing records with data
Update forms to use new fields in Design tab
Update display screens
Update formulas and display rules
Test everything thoroughly in preview mode
Remove old field last
Critical: For data structure changes, always test with real data. Back up important data before major changes.
Common Change Scenarios
Adding Validation
Bad approach: "Add validation"
Good Buzzy approach: "Add validation to the task creation form:
Title field: Mark as Required, set max length 100 characters
Description field: Optional, set max length 1000 characters
Due date field: Mark as Required, add display rule to show error if date is in the past
Assignee field: Mark as Required, must be valid user from Users datatable
Show validation errors in red text below each field. Use condition field to disable submit button until all required fields are filled."
Changing UI Layout
Bad approach: "Make it look better"
Good Buzzy approach: "Change task list screen from table layout to card layout. Each card should show:
Title field (large, bold text)
Assignee field with avatar (top right)
Status field as colored badge
Due date field with calendar icon
Description field preview (first 100 chars using JSONATA substring)
Use Buzzy's responsive layout: 2 columns on desktop, 1 column on mobile, with standard card spacing."
Adding Permission Rules
Bad approach: "Add permissions"
Good Buzzy approach: "Add these server-level permission rules to Tasks datatable:
Admins: Full access - no Viewers field restrictions
Team Members: Can create tasks, view all team tasks (add to Viewers field), edit/delete only their own (use display rules: owner = current_user)
Viewers: Add to Viewers field for read-only access
Use display rules to show/hide action buttons based on user.highestRole and owner field. For users without permission, hide buttons using condition fields."
When Changes Go Wrong
Recovery Steps
1. Stop making changes: Don't try to "fix" with more changes
2. Assess damage:
What broke?
What still works?
What data is affected?
3. Review recent changes:
What did you change?
What was the prompt?
What was the result?
4. Decide recovery approach:
Option A: Fix the specific issue using visual editor or targeted AI prompt
Option B: Rollback using Buzzy's Versions tab (see Rollback Strategies)
Option C: Restore from saved version
5. Prevent recurrence:
Understand what went wrong
Improve change process
Add safeguards
Prevention Better Than Cure
Before making changes:
Change Request Templates
Template: Adding Feature
Template: Modifying Feature
Next Steps
Something broke: Rollback Strategies
Deciding how to make changes: AI vs Manual Edits
Ready to test changes: Testing Approaches
Remember: Successful changes come from clear requirements, careful implementation, and immediate testing. Rush any of these and you'll spend more time fixing than if you'd been careful initially.
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