Honeycomb announced early access to AI Ecosystem, an AI agent fleet-level analysis layer built on its context-rich data model that covers AI Agent Fleet Performance, LLM Cost Tracking, and Agent Conve…
AI model drift, a gradual decline in performance as production data diverges from training baselines, threatens reliability even when infrastructure metrics stay healthy, according to a guide by Dan J…
Honeycomb released a technical guide on instrumenting AI agents with OpenTelemetry's GenAI semantic conventions to enable debugging via the Agent Timeline, which captures tool calls, multi-agent hando…
Honeycomb announced the general availability of Agent Timeline, a tool that provides a unified view of LLM behavior and multi-agent workflows to help developers debug agent conversations faster. The f…