One-Shot vs Iterative Development
Master when to build your entire Buzzy app at once versus building incrementally. Learn the pros, cons, and best practices for each approach.
The Two Approaches Explained
Non-technical explanation: Think of building an app like cooking a meal. One-shot is like making a complete Thanksgiving dinner from a single detailed recipe all at once. Iterative is like cooking dish by dish, tasting as you go, and adjusting. Both work, but different situations call for different approaches.
Visual comparison:
One-Shot Approach:
Iterative Approach:
One-Shot Development with Buzzy AI v3
What it is: Writing a comprehensive, detailed prompt that describes your entire application, letting Buzzy AI v3 generate the complete app structure at once.
Real example:
"Build a complete recipe management app with:
DATA MODEL:
- Users (name, email, role: Cook/Admin)
- Recipes Datatable with fields:
- name, description, prep_time (minutes), cook_time (minutes)
- difficulty (dropdown: Easy, Medium, Hard)
- cuisine_type (dropdown: Italian, Mexican, Asian, etc.)
- Viewers field set to recipe author
- ingredients (Subtable → Ingredients Datatable)
- Ingredients Datatable (Subtable of Recipes):
- ingredient_name, quantity, unit
- Comments Datatable:
- comment_text, author (linked to Users)
- recipe_id (linked to Recipes)
SCREENS:
1. Recipe list with search, filter by cuisine and difficulty
2. Recipe detail showing ingredients list and comments
3. Add recipe form with nested ingredient entries
4. Edit recipe with ability to add/remove ingredients
5. My Recipes screen filtered to current user
SECURITY:
- Recipes visible to all users but editable only by author
- Use Viewers field for recipe ownership
- Comments visible to all, authored by current user
Make it mobile-responsive with card layouts."
Buzzy AI v3 generates:
Brief: Summary of what the app does
Blueprint: All screens and navigation flow
Data tab: Complete Datatables with Subtables and relationships
Design tab: All screen layouts with components and actions
Iterative Development with Buzzy
What it is: Building the app incrementally—start with core features, test thoroughly, then add more features one at a time using Buzzy AI prompts and visual editor.
Real example approach:
Phase 1 - Basic foundation:
Prompt: "Build a basic recipe app with:
- Recipes Datatable (name, description, prep_time)
- Recipe list screen
- Recipe detail screen
- Add recipe form
- Users can only see their own recipes (Viewers field)"
→ Generate → Review → Test in preview mode
Phase 2 - Add ingredients:
Prompt: "Add ingredients to the recipe app:
- Create Ingredients Datatable as Subtable of Recipes
- Fields: ingredient_name, quantity, unit
- Update recipe detail screen to show ingredients list
- Update add/edit forms to include ingredient entries"
→ Generate → Review → Test in preview mode
Phase 3 - Add comments:
Prompt: "Add comments feature:
- Comments Datatable linked to Recipes
- Show comments on recipe detail screen
- Add comment form for logged-in users"
→ Generate → Review → Test in preview mode
Phase 4 - Polish UX (manual edits in Design tab):
Adjust layout spacing
Improve mobile responsiveness
Add helpful empty states
Enhance button styles
When to Use One-Shot with Buzzy
Good Use Cases
Simple, well-defined apps:
✅ Contact form apps
✅ Simple CRUD apps (task lists, inventory trackers)
✅ Internal tools (calculators, data entry forms)
✅ Prototypes to demonstrate concepts
✅ MVPs to validate ideas
Characteristics:
Single or simple user roles
Clear data model (2-4 Datatables)
Standard UI patterns
Straightforward business logic
No complex external integrations
Advantages
Speed: Get a working Buzzy app in minutes
Complete vision: Buzzy AI v3 sees your full requirements
Consistency: Generated App Definition uses consistent patterns
All basics covered: Brief, Blueprint, Data, and Design all generated
Safe to modify: Can use visual editor to refine without breaking anything
Disadvantages
Generic assumptions: Buzzy AI v3 makes reasonable assumptions that may not be exactly what you want
May need refinement: Data relationships might need adjustment
Less understanding: If you don't review what was generated, you won't understand your app structure
Context limits: Very large prompts may not generate optimal results
One-Shot Best Practices with Buzzy
1. Be extremely specific about data relationships:
Bad: "Build a recipe app"
Good: "Build a recipe app where:
- Each recipe has a name, description, prep time in minutes, and step-by-step instructions
- Each recipe has multiple ingredients (use Subtable) with name, quantity, and unit
- Users can create and edit their own recipes
- Recipe list screen should be searchable
- Recipe detail screen shows ingredients as a list
- Users should only see their own recipes unless they're shared"
2. Include all requirements upfront:
Data structure with specific mention of Subtables (1:M) or Linked Table Fields (N:M)
Security requirements (Viewers fields, Organizations/Teams)
All screens and key navigation flows
Mobile and web needs
Critical display rules
3. Review what Buzzy AI v3 generated:
Brief: Does it capture your app's purpose?
Blueprint: Are all necessary screens included?
Data tab: Check Datatables, Subtables, and Linked Table Fields
Design: Review screen layouts and components
4. Use preview mode to test:
Navigate through all screens
Test data entry and editing
Verify display rules work correctly
Check mobile view
5. Refine using visual editor:
Adjust screen layouts in Design tab
Fine-tune display rules
Update field labels and placeholders
Modify navigation flow
Reality Check: Even simple apps usually need refinement. The difference with Buzzy: you can safely edit in the visual editor without breaking anything. No risk of corrupting generated code.
When to Use Iterative with Buzzy
Good Use Cases
Complex apps:
✅ Multi-role applications (with Organizations and Teams)
✅ Complex data relationships (many Subtables and Linked Table Fields)
✅ External API integrations (requiring Buzzy Functions)
✅ Apps that will grow over time
Learning situations:
✅ You're new to Buzzy's platform
✅ You're learning about Subtables and Linked Table Fields
✅ Requirements are evolving as you explore
Production apps:
✅ Apps where data model design is critical
✅ Apps where UX quality matters more than speed
✅ Apps with specific security requirements
Advantages
Control: Build exactly what you want, reviewing each step
Learning: Understand Buzzy's data model and structure as you build
Quality: Catch data model issues early before they cascade
Understanding: Learn how Subtables and Linked Table Fields work
Flexibility: Easy to change direction with Buzzy's visual editor
Disadvantages
Slower: Takes more time than one-shot approach
Multiple prompts: Need to communicate clearly across iterations
More decisions: You decide the build sequence
Testing overhead: Need to test after each iteration
Iterative Best Practices with Buzzy
1. Build using Buzzy AI v3 workflow:
Phase 1 - Foundation:
Prompt: "Build basic structure with core Datatables"
Review: Check generated Brief, Blueprint, and Data model
Refine: Adjust Subtable relationships in Data tab if needed
Test: Use preview mode
Phase 2 - Core Features:
Prompt: "Add [specific feature] with [data relationships]"
Review: Check how it integrates with existing structure
Refine: Use Design tab to adjust screen layouts
Test: Verify new workflows in preview
Phase 3 - External Integrations (if needed):
Create Buzzy Functions for external APIs
Add Constants for API keys
Test Functions before integrating into app
Wire up Functions in app actions
Phase 4 - Polish:
Refine UX using Design tab
Add display rules for conditional visibility
Optimize screen layouts for mobile
Test thoroughly with realistic data
2. Test between iterations:
Use Buzzy's preview mode after each change
Test with different user roles (if applicable)
Verify data relationships work correctly
Check mobile and web views
3. Be specific about Buzzy concepts:
Bad: "Add comments"
Good: "Add a Comments subtable to the Tasks datatable. Each comment should have:
- content (text field)
- author (link to current user)
- created_at (timestamp)
Show comments in the Task Detail screen below the task info.
Only logged-in users can add comments. Users can edit or delete
their own comments only (use Viewers field for this)."
4. Use visual editor strategically:
Make small UX adjustments manually in Design tab
Use AI prompts for structural changes (new Datatables, Subtables)
Don't prompt AI for every tiny visual tweak
Leverage Buzzy's version control (Versions tab) to rollback if needed
5. Document your data model:
Keep a data model diagram updated
Note complex Subtable/Linked Field relationships
Document security patterns (Viewers, Team Viewers)
Note any Buzzy Functions and their purpose
Hybrid Approach with Buzzy
In practice, most successful Buzzy projects use a combination:
The Hybrid Strategy
1. One-shot for foundation: Prompt Buzzy AI v3 to generate basic app structure with core Datatables and screens
2. Iterative for features: Add functionality using focused prompts, testing each addition
3. Visual editor for refinements: Use Design tab to adjust layouts, display rules, and actions
4. Buzzy Functions for complex integrations: Create Functions for external APIs, advanced calculations, or custom logic
Example: E-commerce App with Buzzy
One-shot (Day 1): Prompt: "Build an e-commerce app with:
Products datatable (name, description, price, image, inventory count)
Orders datatable with Order Items subtable (to store product, quantity, price)
Users datatable for customers
Screens: product list (searchable), product detail, shopping cart, my orders"
Review and adjust:
Check Data tab for Subtable relationships
Verify Orders → Order Items uses Subtable correctly
Test basic navigation in preview
Iterative additions (Days 2-5):
Day 2: Prompt for product categories (use Linked Table Field for N:M)
Day 3: Prompt for checkout flow screens
Day 4: Create Buzzy Function for payment processing (Stripe API)
Day 5: Prompt for order history and status tracking
Visual refinements (Days 6-7):
Use Design tab to improve product card layouts
Add display rules for inventory warnings
Refine checkout flow UX
Optimize mobile experience
Buzzy Functions (as needed):
Payment processing via Stripe
Inventory management logic
Order confirmation emails
Price calculations with discounts
Switching Approaches Mid-Project
Sometimes you realize the chosen approach isn't working:
From One-Shot to Iterative
When to switch:
Data model needs significant restructuring
Generated screens don't match your vision
Requirements have significantly changed
You need more control over the structure
How to switch with Buzzy:
Use Buzzy's Versions tab to save current state
Identify what's working well (keep it)
Use focused prompts to rebuild problematic areas
Leverage Design tab for manual adjustments
Test thoroughly in preview mode
Advantage with Buzzy: Safe to iterate because you have version control and visual editing without breaking anything
From Iterative to One-Shot
When to switch:
Need to add entire new section quickly
Current approach feels too slow
Adding standard, well-defined features
Want Buzzy AI v3 to generate structure for new area
How to switch with Buzzy:
Document current app structure
Write comprehensive prompt for new section
Let Buzzy AI v3 generate the new structure
Review generated Datatables, screens, and relationships
Test how it integrates with existing app
Use Design tab to refine integration points
Decision Framework for Buzzy
Ask yourself:
Choose One-Shot with Buzzy AI v3 if:
Choose Iterative with Buzzy if:
Choose Hybrid if:
Common Mistakes with Buzzy
Mistake 1: One-Shot for Complex Apps
Problem: Trying to describe everything in one massive prompt for a complex Buzzy app
Result:
Suboptimal data model with unclear relationships
Missing Subtables or incorrect Linked Table Fields
Generic screens that don't match your vision
Time wasted restructuring vs starting iteratively
Fix: Use iterative approach for apps with complex data relationships or multiple user roles
Mistake 2: Too Iterative (Over-Prompting)
Problem: Using Buzzy AI prompts for every tiny change instead of Design tab
Result:
Painfully slow progress
Wasted prompts on trivial changes
Could have used visual editor much faster
Never ship because always tweaking
Fix: Use AI prompts for structural changes (Datatables, Subtables), use Design tab for UI refinements
Mistake 3: No Testing Between Iterations
Problem: Adding feature after feature without using preview mode
Result:
Issues compound in data model
Display rules don't work as expected
Navigation becomes confusing
Don't discover problems until much later
Fix: Use preview mode after each significant iteration, test all workflows
Mistake 4: Ignoring Data Model Review
Problem: Not reviewing generated Datatables, Subtables, and Linked Table Fields
Result:
Inefficient data structure
Wrong relationship types (Subtable vs Linked Field)
Performance issues later
Hard to add features later
Fix: Always review Data tab after Buzzy AI v3 generates structure. Verify relationships make sense.
Mistake 5: Scope Creep
Problem: Continuously adding "just one more thing"
Result:
Never finished
Overwhelmed by complexity
Lost sight of MVP
App becomes unmaintainable
Fix: Define MVP clearly using Buzzy AI v3, publish it, then iterate with additional features
Next Steps
Need to change something?: Making Changes Effectively
Deciding AI prompts vs visual editor: AI vs Manual Edits
Ready to test: Testing Approaches
Learn Buzzy AI v3: Buzzy AI v3 Guide
Remember: With Buzzy, there's less risk than traditional code generation. You have version control, visual editing, and no code to break. The best approach depends on your app's complexity and your familiarity with Buzzy's platform. Start with your best guess and adjust as you learn—Buzzy makes it safe to iterate.
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