AI product

HyperProbe

HyperProbe is an AI-native production debugger for investigating live application state without code changes, redeployment, or service restarts. It reads logs and distributed traces, uses a coding agent to locate a suspected file and line, and places a temporary read-only virtual breakpoint there. When the breakpoint fires on live traffic, it captures the variable state asynchronously without pausing requests, then uses the evidence to confirm a root cause. Probes are non-blocking, cannot write memory or execute code, disappear after capture, and are recorded in an immutable audit trail.

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Overview

The service is designed for silent failures, exceptions whose causes occur earlier in the call chain, incorrect behavior without thrown errors, race conditions, third-party contract changes, and business-metric failures. It supports JavaScript, TypeScript, Java, Kotlin, Python, and Ruby, and can run in a managed cloud, self-hosted deployment, or private VPC. The page states that it integrates with PagerDuty, Datadog, Slack, Cursor, Claude Code, Codex, and Opencode, with approval gates and agent-side PII redaction.

What HyperProbe is used for

1 use taken from transcripts — each links to the moment in the video.

  • An AI-native production debugger that investigates live application state without redeploying or restarting services. It uses logs and traces to place temporary read-only virtual breakpoints, capture variable values on live traffic, and help confirm incident root causes.

Videos mentioning HyperProbe

1 in the library.