The Harness Is the Control Plane: A Distributed Systems View of Agent Failures
Nine seconds. That is how long it took an AI agent to delete PocketOS's production database in late April 2026. The agent (Cursor running…
Nine seconds. That is how long it took an AI agent to delete PocketOS's production database in late April 2026. The agent (Cursor running…
Turning architectural gaps into engineering patterns The Gap Between Demo and Production Last week I evaluated LangChain's architecture using SRAL. The scorecard revealed something…
A systematic evaluation of LangChain's architectural foundations using the SRAL framework Scorecard Summary Component Score Key Finding State ⚠️ Weak-to-Moderate Memory is optional, not…
A 6.7-billion-parameter model, given a handful of tools, beat a model 26 times its size on a range of zero-shot tasks, from factual lookups…
The Problem With Agent Evaluation Most conversations about AI agents focus on capabilities. Can it browse the web? Can it write code? Can it…
Modern agent demos look impressive until you load them with real work. Real constraints. Real ambiguity. Real environments. That’s when most agents collapse. And…