I have read a lot of agent architecture content over the last two years, and almost all of it is...
I have read a lot of agent architecture content over the last two years, and
almost all of it is about the same layer: how the agent thinks. Prompt
chaining, routing, orchestrator-workers, evaluator-optimizer, ReAct, plan-and-
execute. That layer is genuinely well served, and I am not going to add to it.
Here is the uncomfortable thing I keep running into instead. The incidents I
The Four-Layer Agent Stack: When Your Framework Isn't Enough Models. Harnesses. Runtimes....
AI agent infrastructure is splitting at the state layer, where checkpoints, memory, identity, traces, policy decisions, and audit…
What goes into an AI agent that works in production. The components, how they connect, the failure modes of each, and what the…
Most developers build their first agent as a loop. Here is what happens when that loop needs to handle production workloads — and…
Most AI agent projects fail for the same reason: The architecture was designed like a SaaS feature...
MCP, A2A, or neither? Walk through 5 real agent architectures and learn which protocol fits each trust boundary—and when to skip…
