Architecture

The Agent Harness: Why Your Model Isn't the Problem

LangChain jumped from outside the top 30 to number 5 on TerminalBench 2.0. They didn't change the mo ...

How autonomous is too autonomous

Autonomy in agents is a slider, not a switch, and the right setting depends on the task more than th ...

Agent memory: episodic, semantic, and what to keep

The first agent you build has no memory beyond the current conversation, and that works for about a ...

Multi-agent systems: coordination is the actual hard part

Multi-agent architectures are seductive because they map onto how humans organize work: specialists, ...

Planner-executor splits: when to separate them

A single model doing both planning and execution feels elegant on day one. By month three, the trace ...

Designing an agent harness that doesn't fight the model

Lorem ipsum dolor sit amet consectetur adipisicing elit. The harness around an agent matters more th ...

ReAct in production: reasoning that survives sidetracks

ReAct is a clean idea: think, act, observe, repeat. In production, the loop is the part that breaks. ...