Lightrun AI🔗
Lightrun AI enables AI coding assistants and agentic tools to inspect live application behavior using Lightrun's production-safe runtime data. It brings real runtime context into AI-driven debugging workflows, without requiring code changes, rebuilds, or redeployments.
Lightrun AI is built around two layers:
- Lightrun MCP connects AI assistants and agents to Lightrun runtime capabilities through the Model Context Protocol.
- Lightrun AI Skills provide reusable investigation workflows that guide AI assistants through focused, evidence-first debugging with Lightrun MCP.
The typical flow is: a developer asks an AI assistant to investigate an issue, the assistant follows a Lightrun AI Skill, the skill guides the assistant through Lightrun MCP, and MCP retrieves live runtime context from the target application.
Lightrun MCP🔗
Lightrun MCP lets AI coding assistants such as Cursor, GitHub Copilot, Claude Code, Gemini, and other MCP-compatible tools use Lightrun's live runtime context on your behalf.
With Lightrun MCP, an AI assistant can inspect expression values, call stacks, execution duration, execution counts, and custom metrics from live applications. This allows the assistant to validate hypotheses against real application behavior instead of relying only on static code analysis.
To get started, see:
Lightrun AI Skills🔗
Lightrun AI Skills are reusable instructions for AI coding assistants. They define repeatable workflows for using Lightrun MCP during runtime investigations, including preflight checks, evidence collection, diagnosis, and handoff output.
Skills help AI assistants use Lightrun consistently. Instead of asking an assistant to "debug this" and relying on a generic workflow, you can use a Lightrun skill to guide the assistant through a structured investigation that starts with runtime source discovery and ends with a concrete diagnosis and next action.
The first available skill is the Live Runtime Debugging Skill, which provides a deterministic workflow for investigating runtime issues in live environments.
To learn more, see Lightrun AI Skills.
AI SRE🔗
For Lightrun's AI SRE documentation, see AI SRE.