ArchiCraft: Solution Architecture Insights for AI Engineering

#003 - Agentic AI Distributed Systems Challenges

22 snips
Jul 5, 2025
Dmytro Golodiuk, a seasoned tech professional with over 17 years in the software industry, dives deep into the world of agentic AI and its architectural challenges. He emphasizes that the real hurdles lie in distributed systems, not just in AI capabilities. Dmytro explores critical patterns like Orchestrator-Worker models versus event-driven Choreography, resilience in multi-agent systems, and the advantages of the Actor Model for concurrency. He also stresses the importance of robust governance frameworks for security and efficiency in deploying these systems.
Ask episode
AI Snips
Chapters
Transcript
Episode notes
INSIGHT

AI Challenge Is Distributed Systems

  • The major challenge in agentic AI is not the large language model itself but the distributed system supporting it.
  • Architecting reliable multi-agent swarms demands tackling state consistency, fault tolerance, and governance complexities.
ADVICE

Start Simple, Then Scale

  • Start agentic AI projects with simple deterministic chains before escalating to more complex multi-agent setups.
  • Understand each evolution step's trade-offs and scars to avoid brittle architectures.
INSIGHT

Multi-Agent Collaboration Patterns

  • Multi-agent collaboration patterns shape system resilience and control: centralized orchestrator offers control but risks bottlenecks.
  • Decentralized choreography scales well but complicates debugging and governance.
Get the Snipd Podcast app to discover more snips from this episode
Get the app