AI Agent Development Roadmap

Prompt Engineering → Agent Framework → Multi-Agent Collaboration → RAG → Production

Phase 1: Prompt Engineering

• [ ] Understand prompt design principles
• [ ] Master variable replacement patterns
• [ ] Practice: Use Coding Prompts
• [ ] Checkpoint: Generate usable DDD entity code

Phase 2: Agent Framework

• [ ] Understand Agent base class structure
• [ ] Implement tool registration mechanism
• [ ] Integrate memory system
• [ ] Checkpoint: Agent can call tools and remember context

Phase 3: Multi-Agent Collaboration

• [ ] Design Agent orchestrator
• [ ] Implement hierarchical/parallel/cross-stage collaboration
• [ ] Define workflow steps
• [ ] Checkpoint: Multi-agent collaboration completes complex tasks

Phase 4: RAG Knowledge Enhancement

• [ ] Build knowledge base
• [ ] Implement vector retrieval
• [ ] Integrate into Agent reasoning chain
• [ ] Checkpoint: Agent answers accurately based on knowledge base

Phase 5: Production

• [ ] Performance optimization and caching
• [ ] Monitoring and alerting
• [ ] Cost control
• [ ] Checkpoint: Agent runs stably for 7 days without failure

Practical Recipe

• Agent Building Recipe — Agent framework + tool registration + memory system

Corresponding Open Domain

• AI Agent Domain — CustomerServiceAgent practice source