Project Workflow
Strategic guidance for managing Buzzy app development from planning to deployment.
The Reality of Building with Buzzy AI v3
Building with Buzzy is not a straight line from prompt to finished app. It's an iterative process that requires strategy, discipline, and understanding when to use AI prompts versus the visual editor.
This section addresses the real challenges:
Context loss across AI prompts
When to use AI vs visual editor
When to rollback to previous versions
Testing your Buzzy app thoroughly
Maintaining app quality over time
The Workflow Stages
1. Planning & Design
Before writing your first prompt:
Understand your data structure
Map user flows
Define roles and permissions
Set success criteria
2. Initial Build with Buzzy AI v3
Choosing your approach:
Making it happen:
Write informed Buzzy prompts based on your design
Review generated Brief, Blueprint, Data, and Design tabs
Test core functionality in preview mode
3. Iteration & Refinement
Managing changes:
Quality assurance:
4. Deployment
Going live:
Long-term:
The Core Workflow Challenges
Challenge 1: Context Loss
The problem: Each new Buzzy AI prompt operates with limited context. Your 5th prompt might alter what your 1st prompt created.
The solution:
Keep prompts focused and specific
Reference previous structure explicitly
Review generated changes in Data and Design tabs
Use Buzzy's Versions tab for rollback (see Rollback Strategies)
Challenge 2: Testing Fatigue
The problem: Thorough testing is important but time-consuming. It's easy to get lazy or impatient.
The solution:
Test strategically, not exhaustively
Automate repetitive tests
Focus on critical paths
Accept imperfection in early iterations
→ See Testing Approaches
Challenge 3: Testing with Real Data
The problem: Your app might work with test data but have issues with real-world scenarios.
The solution:
Test with varied data in preview mode
Review generated Datatables and field types
Test different user scenarios
Check edge cases and validation
Challenge 4: Maintaining App Quality
The problem: Generated apps may not follow best practices for security, performance, or user experience.
The solution:
Review server-level security (Viewers, Team Viewers fields)
Check data model design (proper use of Subtables and Linked Fields)
Ensure display rules and actions work correctly
Test on both web and mobile
→ See Best Practices
Challenge 5: Long-Term Maintenance
The problem: Apps need ongoing updates and improvements over time.
The solution with Buzzy:
Buzzy maintains the Core Engine automatically
React/React Native updates handled by Buzzy
Security patches applied platform-wide
You focus on app logic and user experience
→ See Maintenance & Tech Debt to learn how Buzzy solves traditional tech debt problems
Workflow Best Practices
1. Start Small
Don't: Try to build the entire app in one prompt
Do:
Build core feature first
Test it thoroughly
Add features incrementally
Validate each addition
2. Be Specific
Don't: "Fix the bug" or "Make it better"
Do:
"The submit button doesn't validate email format before submitting"
"Add loading indicator when fetching user data"
"Make mobile menu close after selecting item"
3. Review Everything
Don't: Assume AI-generated structure is perfect
Do:
Test each change in preview mode
Review Data tab for proper relationships
Verify security settings (Viewers fields)
Check display rules and actions work correctly
4. Document Decisions
Don't: Rely on memory for why things are built a certain way
Do:
Keep notes on design decisions
Document unusual patterns
Explain business logic
Record AI limitations encountered
5. Use Buzzy's Version Control
Don't: Make major changes without saving versions
Do:
Use Buzzy's Versions tab to save stable states
Save versions before major AI prompts
Name versions clearly ("v1-before-adding-payments")
Rollback when experiments don't work
→ See Rollback Strategies
When Things Go Wrong
The App Broke
Assess: What changed? What broke?
Rollback: Use Buzzy's Versions tab to restore last working state (see Rollback Strategies)
Analyze: What went wrong in the data model or screen logic?
Fix: Address specific issue with targeted AI prompt or visual editor
Feature Not Working as Expected
Understand: Why is it failing?
Root Cause: Is it the data model, display rules, or actions?
Fix: Targeted change using visual editor or AI prompt
Verify: Feature works and nothing else broke
Lost Context
Stop: Don't keep prompting blindly
Review: Look at current state vs desired state
Reset: Consider rolling back to known good state
Rebuild: Small, specific changes from there
Running Out of Time/Money
Assess MVP: What's absolutely necessary?
Cut Scope: Remove nice-to-have features
Simplify: Reduce complexity where possible
Ship: Get to working version, iterate later
Workflow Patterns
For Simple Apps (Hours to Days)
Design data structure (30 min)
Write comprehensive Buzzy AI prompt (15 min)
Review generated Brief, Data, Design tabs (30 min)
Polish UI in visual editor (1-2 hours)
Test in preview mode (30 min)
Final testing on live app (30 min)
Publish
For Moderate Apps (Days to Weeks)
Design phase (2-4 hours)
Build core Datatables and screens with Buzzy AI (1-2 days)
Visual editor refinement of UX (1-2 days)
Feature additions with AI prompts iteratively (ongoing)
Regular testing in preview and live (ongoing)
Progressive publishing
For Complex Apps (Weeks to Months)
Comprehensive design phase (days)
Prototype core with Buzzy AI (days)
Build complex features with Buzzy Functions (ongoing)
AI assistance for standard screens and Datatables (ongoing)
Continuous testing and QA (ongoing)
Staged publishing
Success Metrics
Track these to know if your workflow is healthy:
App Quality:
Data model issues found per iteration
User experience problems
Bug count after changes
Productivity:
Time from prompt to working feature
Balance of AI prompts vs visual editor
Rollback frequency
User Value:
Feature completion rate
User-reported issues
Time to fix problems
Maintainability:
Clarity of data model
Ease of understanding app structure
Ease of making changes in Buzzy
Next Steps
Choose the topic most relevant to where you are:
Starting out: One-Shot vs Iterative
Making changes: AI vs Manual Edits
Something broke: Rollback Strategies
Need to test: Testing Approaches
Ready to launch: Deployment Guide
Thinking long-term: Maintenance & Tech Debt
Remember: There's no perfect workflow. Find what works for your project, team, and timeline. The key is being intentional rather than chaotic.
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