Future Work
Roadmap and future enhancements
Eval Datasets
Develop comprehensive evaluation datasets to systematically measure agent performance across different use cases and domains.
Quality Metrics
- • Response accuracy and relevance
- • Context understanding
- • Code snippet correctness
- • Documentation completeness
Performance Benchmarks
- • Response latency targets
- • Memory retrieval efficiency
- • Multi-turn conversation quality
- • Edge case handling
Pre-prod Vibe Check App
Create a lightweight testing interface for stakeholders to interact with and validate agent responses before production deployment.
Interactive Testing
Real-time chat interface for manual testing and validation
Feedback Collection
Built-in rating and comment system for response quality
A/B Testing
Compare different model configurations and prompts
Episodic Memory
Implement advanced episodic memory capabilities to enable the agent to learn from past interactions and improve over time.
Memory Formation
- ▸ Conversation pattern recognition
- ▸ User preference learning
- ▸ Context-aware memory storage
- ▸ Temporal relationship mapping
Memory Utilization
- ▸ Personalized response generation
- ▸ Proactive assistance suggestions
- ▸ Cross-conversation continuity
- ▸ Adaptive learning from feedback