Debug code directly with your AI agent
When you use AI coding assistants, great observability is crucial. One-click integrations of Honeycomb MCP with Claude Code, Cursor, and Amazon Q Developer can help you rapidly debug issues directly from your agent to improve AI-assisted development.
AI assistants are fast, but unreliable
Coding with AI agents can make you faster than ever, but it introduces hallucinations and unexpected behaviors. This unreliability can lead to long debugging times and performance bottlenecks.
Unreliable without context
AI-powered coding assistants can build, operate, and transform software, but they need the right context to be accurate and reliable.
Unpredictable behavior
Without context about what’s happening in production, AI assistants can suffer from severe hallucinations that provide inaccurate or out-of-date information.
Performance bottlenecks
Without detailed observability, identifying performance bottlenecks and inefficient resource utilization in AI-assisted code becomes difficult, costing the team time and money.
Observability built for the future of software
From day one, Honeycomb has focused on making software teams better. Now, we’re bringing enterprise-grade observability to AI-assisted engineering with Honeycomb MCP.
Trusted by companies worldwide
Thanks to Honeycomb, SLO-based monitoring has proven superior for LLM reliability than traditional metrics. Given AI’s unpredictable nature, SLOs help us catch and investigate anomalies without triggering a flood of noisy alerts.
See it in action
How is your gen AI code performing in production? Watch how the Honeycomb MCP enables you (or your AI agent) to query Honeycomb directly from your IDE.
Honeycomb Named a Visionary in the 2025 Gartner® Magic Quadrant™ for Observability Platforms
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