Who This Is For
Software Engineers, Data Engineers, DevOps, Security EngineersCore Scenarios
Scenario 1: Rapid Prototyping (Automatic Acceptance Mode)
Real Case: The product team uses “automatic acceptance mode” to let AI build Vim mode independently, with 70% of the code completed by AI.How to do it in Happycapy
Step 1: Start with Clean Git State
Step 1: Start with Clean Git State
Ensure you have a clean working directory before starting:
Step 2: Give Detailed but Abstract Tasks
Step 2: Give Detailed but Abstract Tasks
Describe what you want, not how to build it:
Step 3: Check Progress and Take Over at 80%
Step 3: Check Progress and Take Over at 80%
- Happycapy automatically runs tests and fixes errors
- You focus on the last 20% of core business logic
Best Practices
Suitable For
- Edge functions
- Experimental prototypes
- Unfamiliar technology stacks
Not Suitable For
- Core business logic
- Security-critical code
Scenario 2: Debugging Complex Problems
Real Case: The security team reduced incident resolution time from 10-15 minutes to 5 minutes.How to do it in Happycapy
Provide comprehensive context for faster debugging:Advantages of Happycapy
Automatic Code Reading
Automatically reads related code files
Stack Understanding
Understands complex call stacks
Runnable Fixes
Provides repair code that can be run directly
Documentation
Generates runbook for future reference
Scenario 3: Test Driven Development (TDD)
Real Case: Inference teams use AI to generate comprehensive unit tests that automatically cover edge cases.How to do it in Happycapy
Follow the TDD red-green-refactor cycle:TDD Workflow
- Happycapy writes tests first (TDD red light)
- Then writes the implementation (TDD green light)
- Automatically runs tests and fixes problems found
- You review the code and make final optimizations
Benefits
- More comprehensive test coverage
- Reduces missing boundary situations
- Better code quality
Scenario 4: Quickly Understand Unfamiliar Codebases
Real Case: The API team makes codebase exploration the “first stop”, dramatically reducing context collection time.How to do it in Happycapy
Ask for a guided tour of the codebase:What Happycapy Will Do
Architecture Diagram
Generate codebase architecture diagram
Dependencies
Show dependencies between files
Plain Explanations
Explain complex logic in simple language
Precise Locations
Directly locate key lines of code (file.ts:123)
Scenario 5: Security Review and Infrastructure Changes
Real Case: Security teams use AI to quickly review Terraform plans.How to do it in Happycapy
Generate Terraform Plan
Generate Terraform Plan
First, generate the plan locally:
Upload and Request Review
Upload and Request Review
Upload to Happycapy and ask:
Happycapy Helps You
- Identify high-risk operations (delete database, modify firewall rules)
- Check whether permission configuration complies with best practices
- Generate review checklist
- Suggest safer alternatives
Developer-Specific Advice
1. Establish a Self-Validation Loop
Create prompts that include automatic validation:2. Develop Intuition for Task Classification
Asynchronous Autonomous
- Edge functionality
- Prototypes
- Unfamiliar technologies
Synchronous Supervision
- Core business logic
- Security critical code
- Production environment
3. Write Clear and Detailed Prompts
- Give explicit file paths when repositories have similar names
- State your coding style preference (e.g., “program functionally, avoid classes”)
- Provide context (e.g., “This project uses TypeScript + React + Zustand”)
4. Use Multiple Instances for Parallel Work
Happycapy supports multiple tabs, each tab is an independent session:- One tab handles the frontend, another handles the backend
- Maintain full context for each session
- Switching is stress-free
5. Treat Refactoring Like a “Slot Machine”
Step 1: Save Current State
Step 1: Save Current State
Step 2: Let Happycapy Work
Step 2: Let Happycapy Work
Let Happycapy work autonomously for 30 minutes
Step 3: Evaluate Results
Step 3: Evaluate Results
- If satisfied with the result, accept it
- If not satisfied, start over: