Agent Architecture
How autonomous agents are built, from memory to orchestration.
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Loop Engineering, Meet Jam.
Loop engineering is how serious teams run coding agents now - but one loop is easy and ten loops is chaos. Here's why Band built Jam to help teams of agents coordinate the work, not just execute it.
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The Coordination Problem in Multi-Agent Coding
Multiple coding agents can work in parallel, but keeping their plans, decisions, and handoffs connected quickly becomes a coordination problem. Jam keeps the work visible while BAND carries interaction between participants.
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Loop Engineering, Meet Jam.
Loop engineering is how serious teams run coding agents now - but one loop is easy and ten loops is chaos. Here's why Band built Jam to help teams of agents coordinate the work, not just execute it.
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What I saw at AI Engineer: collaborative AI is here. The architecture question isn't settled.
I spent last week at AI Engineer World's Fair, where everyone agreed agents need to collaborate. What's still unsettled is the architecture underneath it.
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Observability for Multi-Agent Systems
Single-agent traces tell you what each agent did. Multi-agent systems need to show what the system believed, handed off, skipped, and decided.
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Problems of Multi-Agent Production
This is the bill-of-materials post for production multi-agent systems. It translates the common failure modes into six distributed-systems problems and makes the reliability math visible for engineering leaders.
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Conversations, Not Pipelines
The post rejects the industry default of pipelines and DAGs in favor of shared conversational spaces. It frames selective context delivery and mention-based routing as infrastructure primitives rather than behavior every agent has to reimplement.
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The Session Identity Crisis
Every agent framework invents a different session model. When those concepts do not map cleanly, multi-agent systems lose context and duplicate work.
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The Agent Framework Trap
Framework choice feels like an application decision until agents built on different frameworks need to share state, messages, and lifecycle. The article frames this as an O(N^2) infrastructure problem, not a product team mistake.
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