HyperProbe
NexusAi Summary: HyperProbe is an AI-native production debugger that places read-only probes on running code to capture exact variable state without redeploys or restarts. It automates incident triage, traces failure chains, and confirms root cause from live evidence across modern polyglot services.
NexusAi Overview
An alert arrives via PagerDuty, Datadog, or Slack. HyperProbe analyzes logs and traces to locate the suspicious file and line, then activates a virtual, non-blocking breakpoint on the running service. When real traffic hits, it snapshots variable state, correlates with the trace, and reports a verified diagnosis.
How HyperProbe Works
HyperProbe fits platform teams, SREs, staff engineers, and backend owners who shoulder on-call and need proof, not hunches. It is useful for microservices, event-driven systems, and API-first businesses where incidents recur because the decisive value was never logged. Organizations in payments, marketplaces, logistics, and SaaS—especially those with stringent security requirements—benefit from auditability, gated probes, and private deployment options. It shortens time-to-RCA while keeping senior engineers focused on delivery.
- Drop virtual, read-only breakpoints on running services without redeploys, restarts, or pauses.
- Auto-triage alerts by reading distributed traces and locating the exact suspect line.
- Capture structured variable state on live traffic, then correlate findings with traces.
- Protect data with approval gates, immutable audits, and in-agent PII redaction.
- Support JavaScript, TypeScript, Java, Kotlin, Python, and Ruby across services.
Key Differentiators
Who It’s For
Install the agent and connect alert sources such as PagerDuty, Datadog, or Slack. Point HyperProbe at your repositories and tracing backend so it can map stack frames to code. Define redaction rules and approval policies, then enable line-level probing on targeted services. From the first page, HyperProbe plans the investigation, activates a read-only breakpoint, and waits for live traffic to capture state. Teams typically see a confirmed RCA within minutes, and can standardize saved probes for recurring patterns across environments.
NexusAi: Evidence beats guesswork: live variable snapshots close incidents in minutes, not hours.
Getting Started
HyperProbe turns chaotic incident response into a short, auditable loop: detect, plan, probe, confirm. By capturing the exact values missing from logs—without redeploys—it resolves silent failures, race conditions, and contract drift quickly. Teams regain roadmap time, shrink on-call burden, and ship fixes with confidence backed by real evidence.
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HyperProbe
HyperProbe is a YC-backed team focused on AI-native production debugging. The company builds tooling that replaces redeploy-and-wait loops with safe, auditable live-state capture. Their emphasis on trace awareness, security controls, and polyglot runtimes targets modern incident-heavy stacks.
HyperProbe is an incident-handling debugger built for production. Instead of adding logs and redeploying, it plants safe, read-only virtual breakpoints on the exact line where a failure occurs and captures the live variable state on real traffic. An AI planning layer ingests logs and distributed traces to map the failure chain and choose the probe location, turning guesswork into evidence. Probes are asynchronous and non-blocking, impose negligible overhead, and never pause threads. Security controls include approval gates, immutable audit trails, and in-agent PII redaction. HyperProbe supports JavaScript, TypeScript, Java, Kotlin, Python, and Ruby, and integrates with PagerDuty, Datadog, and Slack for alert intake. The result is faster root cause analysis, fewer redeploys, and less dependence on senior engineers during high-pressure incidents.
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