🤖 Improve AI Response Quality and Consistency #4
Description
🎯 Issue Description
The AI responses from Gemini sometimes lack consistency and could be more structured for better user experience.
🎯 Goals
- Improve prompt engineering for better responses
- Add response validation and formatting
- Create more realistic development goals
- Better error handling for AI failures
📋 Tasks
- Analyze current AI prompts and responses
- Redesign prompts for better consistency
- Add response validation and sanitization
- Implement fallback responses for AI failures
- Create templates for different project types
- Add response caching for similar requests
🛠️ Technical Details
- Files:
backend/agents/task_planner.py,backend/agents/dev_bot.py - Improve prompt engineering techniques
- Add response parsing and validation
- Implement retry logic for failed requests
💡 Research Areas
- Prompt engineering best practices
- AI response validation techniques
- Context management for longer conversations
🏷️ Skills Required
- Python
- AI/ML understanding
- Prompt engineering
- API integration