Honeycomb Introduces the Developer Interface of the Future with AI-Native Observability Suite

Honeycomb Intelligence enables engineers to investigate faster, collaborate more effectively, and resolve incidents with clarity

Honeycomb, the creators of observability, announced the launch of Honeycomb Intelligence, an AI-native observability suite optimized for developers. The new AI-powered products accelerate debugging and code delivery by bringing observability into the IDE, improve investigations with an interactive co-pilot, and automatically detect performance anomalies. By combining the unmatched speed of Honeycomb’s proprietary database with seamless access to terabytes of contextual data, Honeycomb Intelligence empowers every developer to understand their systems without slowing down.

As AI accelerates software delivery and distributed architectures grow increasingly complex, most observability tools still struggle with latency, siloed data, and rising costs that are passed on to customers. Modern development happens inside AI-assisted IDEs and teams expect real-time collaboration around live data. Honeycomb Intelligence embraces this by providing teams with a collaborative assistant that can deliver sub-second query responses across billions of events—performance that makes real-time AI assistance possible. Honeycomb’s event-based observability model means AI insights get richer as your systems grow more complex, not slower or more expensive.

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“Existing observability solutions aren’t built for the AI era, where speed, interactivity, and scale are paramount,” said Emily Nakashima, SVP of Engineering at Honeycomb. “Honeycomb Intelligence allows us to redefine what is possible for observability tools. Every engineer can debug like an expert from day one and teams can build truly interactive feedback loops that work 10x faster.”

Honeycomb Intelligence introduces three new products that address critical needs in modern engineering workflows. This unified suite is seamlessly integrated and works out of the box, without requiring teams to orchestrate different AI tools or worry about agent-to-agent communication failures.

• Honeycomb MCP Server accelerates debugging and code delivery by bringing Honeycomb’s powerful observability model directly into AI-powered IDEs such as Cursor and Claude Code. Developers can investigate issues, run BubbleUp on them, detect outliers, and visualize heatmaps and histograms without leaving their workflow.
• Honeycomb Canvas transforms complexity into confident action with an AI-guided workspace that pairs natural language interaction with rich, interactive visualizations. Engineers can ask questions, run multi-step investigations, and seamlessly share insights with teammates inside Honeycomb or in tools like Slack.
• Honeycomb Anomaly Detection is an early warning system for service health that learns normal service behavior and highlights meaningful deviations before they impact customers. It reduces false positives and eliminates alert fatigue so that teams can focus on fixing real problems instead of chasing noise.

Early adopters such as Slack, HelloFresh, Duolingo, and Intercom are already leveraging Honeycomb Intelligence to streamline debugging, accelerate incident response, and unlock deeper system understanding. The announcement follows Honeycomb’s inclusion as an AWS Marketplace launch partner for the new AI Agents and Tools category, as well as partnering with Anthropic on their new Usage and Cost API.