Agent reliability is a control problem, not a prompting problem — harness the LLM, don't let it drive.
“Reliability was never a prompting problem. It's a control problem.”
agent-reliability
8 tracked signals on agent-reliability.
40% of agent sessions contain significant errors, requiring a three-level validation framework.
“In about four out of ten sessions, the agent made a significant error.”
Kubernetes creators are building a cloud-native harness to make coding agents reliable at scale
“What if coding agents could be managed in the same way?”
Microsoft Foundry Agent Service adds procedural memory so agents reliably reuse proven execution patterns in production.
“agents often know the right facts and still fail the task because they do not execute the right procedure”
Arize AI's Signals platform creates autonomous self-improvement loops for AI agents using traces and feedback
“how do you actually start building a loop where these agents use your feedback as a human, customer reviews, and of course real evidence like traces to know how they can improve”
Browser agent reliability is an engineering problem solvable without changing the underlying model
“We view reliability primarily as an engineering problem.”
AI agents evolve rapidly but evaluation frameworks fail to keep pace with model changes
“building a demo with AI is really easy but making it production quality is really hard”
The bottleneck for reliable coding agents is not intelligence but specifying, managing, and verifying their work.
“today's agents are mismanaged geniuses”