Debug Live Systems
Without Waiting for Redeployments
Diagnose and validate fixes against real execution paths without rebuild cycles.
Replace reproductions
with runtime certainty
Stop recreating incidents locally or waiting for logs to catch recurring issues.
See the exact
failing path
Trace real execution under live traffic instead of reconstructing behavior from partial logs.
Inspect state at
the point of error
View variables, call stacks, inputs, and downstream responses in context.
Eliminate
redeploy loops
Investigate and validate hypotheses directly in live environments without rebuild cycles or restarts.
How Lightrun resolves
live production failures
Lightrun combines natural language investigation with dynamic runtime instrumentation
to diagnose and validate fixes directly in live environments.
Describe your issue
in natural language
Explain the problem directly to your AI agent, or paste a ticket into a chat and Lightrun willl investigate using runtime context.
Add targeted
instrumentation
Lightrun adds dynamic logs and metrics at precise execution points, based on likely root causes, to validate or reject each hypothesis.
Capture live
execution evidence
Capture variables, branch decisions, call stacks, and downstream responses at the exact moment the issue manifests under real traffic.
Trace behavior across services and dependencies to understand full impact and blast radius.
Prevent regressions
before rollout
Review results directly in the IDE and confirm error rates, latency stabilize under real load, and validate the remediation’s behavior across branches and services without redeploying.
Why live debugging changes outcomes
Shorten time from alert to resolution
Ground remediation decisions in live execution evidence.
Eliminate redeploy loops during incidents
Investigate and validate fixes without rebuilding code.
Strengthen AI-driven investigations
Ensure AI reasoning is grounded in live runtime context.