Ground AI Agents and IDEs
in Live Runtime Context
Connect AI workflows to real execution state. Stop guessing, and start validating against runtime behavior.
Move to runtime-aware development
Lightrun brings runtime awareness into AI-accelerated design and build workflows to identify and prevent failures before code reaches users
Stop guessing
and start validating
AI agents that access runtime context work from execution evidence, not inference.
Code reviews become
behavior reviews
Confirm logic against real system behavior across branches, inputs, and downstream dependencies
External integrations are
validated in context
Inspect code interactions with databases, APIs, and infrastructure in production context
How runtime context connects AI to live systems
Lightrun MCP is the interface for supplying AI assistants with live runtime context. It enables real-time validation
and tracing against running systems without redeployments or pre-instrumentation.
Inspect live
execution state
AI agents reason over real objects with visibility of live variables, memory state, JSON payloads, and call stacks.
Trace behavior
across services
Map live execution paths under real traffic to validate logic across conditions and distributed dependencies.
Ground AI agents
in production reality
Most failures appear under real conditions, not test environments. Lightrun lets AI reason over real behavior not static analysis.
Auto Enforce
enterprise guardrails
Operate safely with a read-only sandbox, permission-controlled access, and auto-redaction designed for sensitive environments
Why AI-native reliability
requires runtime context
AI generates code fast, but runtime context makes it reliable
Prevent hallucinated
root causes
Ground AI reasoning in live execution evidence to cut guesses based on preconfigured, incomplete telemetry.
Bridge the
verification bottleneck
Only runtime context provides the proof that code behaves correctly under real traffic and dependencies
Enable safe
autonomous remediation
Trust AI agents to act with runtime certainty by validating every fix in a secure, read-only sandbox.