AI in observability is only useful if it meets you where you are: in your terminal, your logs, or in the middle of an incident. You want answers in natural language, not another query language to learn.

Dash0 brings AI into your observability workflow across the following areas:

Agent0 — An AI SRE that scans your environment continuously. It surfaces services degrading with no alert coverage, traces issues to the offending commit, and drafts fixes as a pull request. With Automations, this entire loop runs without anyone opening a chat. More here...
Darkplane — Control room for AI-assisted development. Track what your coding agents build, how AI coding is adopted across your team, what that effort costs, and whether the output meets your standards. Darkplane provides visibility into Claude Code and Cursor usage, connecting sessions to pull requests and measuring cycle time from first prompt to merged PR. More here...
Log AI — Log AI automatically structures and enriches your incoming log data. No regular expressions or manual configuration required. More here...
AI Tool Integrations — Connect Dash0's observability data to your AI coding assistants and LLM-based tools through integrations listed below.

Each of these capabilities makes your observability data more accessible, whether you're deep in a production incident, building a new feature, or making sense of noisy logs.

AI Tool Integrations

Dash0 integrates with AI coding assistants and LLM tools through the Model Context Protocol (MCP) and OpenTelemetry instrumentation. Navigate to the Integration Hub to explore all available AI integrations.

Click each AI tool below for setup instructions:

Each integration provides copy-paste configuration snippets that connect Dash0 to your tool. Once configured, you can query your observability data directly from your AI assistant using natural language.

Use AI in Dash0

AI Tool Integrations

Further Reading