[ad_1]
AI agents are evolving from individual productivity tools into distributed systems components inside enterprises. The next frontier is coming into focus, and it involves large-scale ecosystems of collaborating agents embedded directly into business processes. However, multi-agent architectures introduce serious challenges around orchestration, state management, trust, governance, and observability.
Eric Broda is a veteran of the software industry, and he’s the co-author of the new O’Reilly book, Agentic Mesh: The GenAI-Powered Autonomous Agent Ecosystem.
In this episode, Eric joins Sean Falconer to discuss the architectural challenges of deploying agents as core infrastructure, how distributed computing principles apply to multi-agent systems, why trust and explainability are foundational, and what enterprises may look like as agents become full participants in business processes.
Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from AI to quantum computing. Currently, Sean is an AI Entrepreneur in Residence at Confluent where he works on AI strategy and thought leadership. You can connect with Sean on LinkedIn.
Please click here to see the transcript of this episode.
Sponsors
In mobile application security, ‘good enough’ is a risk.
Guardsquare uses advanced, multi-layered code hardening techniques and automated runtime application self-protection and mobile application security testing, combined with real-time threat monitoring, to deliver the highest level of mobile app security.
Discover how Guardsquare brings all these together to provide mobile app security for your Android and iOS apps without compromise at www dot Guardsquare dot com.
Today’s episode of Software Engineering Daily is brought to you by Unblocked.
Your coding agents have access to your codebase, maybe you’ve even connected other tools via MCPs. But access doesn’t mean context. Agents can’t reason across MCPs, they don’t know your architectural decisions, your team’s patterns, or why the API was shaped the way it is. So agents look in the wrong place and deliver bad outputs. Then you spend time correcting—turn after turn.
Unblocked is the context layer your agents are missing. It synthesizes your PRs, docs, Slack, and tickets into organizational context that agents actually understand – so they make better plans, write higher quality code, use fewer tokens, and require fewer correction loops.
If you’re running Claude Code, Cursor, or any agentic workflow, Unblocked is worth a look.
Get a free three-week trial at getunblocked.com/sedaily.
[ad_2]
Source link
