Grounded Reasoning Systems for Cloud Architecture - Iman Makaremi
Jun 3, 2025 · 26:05
Iman Makaremi, co-founding head of AI at Catayaw, details how his team built a grounded reasoning system for cloud architecture using a knowledge graph and multi-agent orchestration. The system uses LangGraph for workflows, Flyte for distributed execution, and AWS Bedrock with Claude 3. A domain-specific knowledge graph serves as long-term memory, enabling persistent representation of architectural state. The multi-agent system comprises a chief architect and ten staff architects specialized in domains like infrastructure and API, plus retrievers for requirements and architecture. Key findings include that semantic grounding improves but doesn't always work, graph memory supports continuity, structured outputs improve control, and human evaluation is essential early on—Catayaw built an internal tool called Eagle Eye. The workflow proceeds through list generation, conflict resolution, and design proposal with agent cloning for parallel tasks.
