Best Practices for Building Agentic AI Systems
8 days ago
- #AI Agents
- #Production Best Practices
- #Task Decomposition
- Two-tier agent model is optimal: primary agents manage context and subagents execute tasks.
- Subagents should be stateless for parallel execution, predictable behavior, and easy testing.
- Task decomposition strategies: vertical for sequential tasks, horizontal for parallel tasks.
- Structured communication protocols between agents ensure clarity and efficiency.
- Agent specialization by capability, domain, or model improves performance.
- Orchestration patterns include Sequential Pipeline, MapReduce, Consensus, and Hierarchical Delegation.
- Context management should be minimal to maintain predictability.
- Error handling includes graceful degradation and clear failure communication.
- Performance optimization involves model selection, parallel execution, caching, and batching.
- Monitoring should track task success rate, response quality, performance, and error patterns.
- Principles: stateless by default, clear boundaries, fail fast, observable execution, composable design.
- Common pitfalls: smart agent trap, state creep, deep hierarchy, context explosion, perfect agent fallacy.