HyperProbe: AI Powered Production Debugging and Incident Response

HyperProbe: AI Powered Production Debugging and Incident Response It is an AI-powered production debugging and observability platform that helps engineering teams find the root cause of live software incidents without redeploying or restarting their services. Its AI on-call agent works with existing alerts, logs, and traces, then places read-only probes on the exact lines of running code to capture the real variable state when a problem occurs. This gives coding agents and engineers evidence that traditional logs may not contain. HyperProbe supports JavaScript, TypeScript, Java, Kotlin, Python, and Ruby, and works with coding agents such as Cursor, Claude Code, Codex, and OpenCode.

5 Benefits of Using of HyperProbe

1. Faster debugging: Capture the actual runtime state instead of guessing from logs.
2. Fewer redeployments: Investigate production problems without repeatedly changing and redeploying code.
3. Better root-cause analysis: Give engineers and AI agents direct evidence from live applications.
4. Lower engineering effort: Reduce the time senior developers spend in production incident investigations.
5. Flexible deployment: Use managed cloud, private VPC, or self-hosted options depending on your plan.

• AI On-Call Agent: HyperProbe can investigate production incidents, locate suspicious code, place probes, capture evidence, and help confirm the root cause.
• Read-Only Production Probes: Its virtual probes capture live variable states without modifying code, writing memory, or pausing application threads.
• No Redeployment Required: Developers can investigate live problems without adding temporary logging code or restarting the affected service.
• AI Coding Agent Integration: HyperProbe provides an MCP server that works with Cursor, Claude Code, Codex, and OpenCode, allowing AI coding agents to drive debugging workflows.
• Security and Privacy Controls: Probes are read-only, PII is redacted by default, and probe activity is recorded in an immutable audit log. Enterprise customers can also use private VPC or self-hosted deployment.

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5 Problems with their solutions that HyperProbe can solve it

1. Problem: Logs do not contain the variable that caused an incident.

Solution: HyperProbe places a read-only probe at the relevant code line and captures the live value.

Solution: Investigate running services without changing source code or restarting them.

3. Problem: Silent failures are difficult to diagnose.

Solution: Capture real runtime state even when no exception is generated.

4. Problem: AI coding agents cannot access enough production evidence.

Solution: MCP integration allows supported coding agents to work with HyperProbe’s debugging workflow.

5. Problem: Production debugging creates privacy and security concerns.

Solution: HyperProbe provides PII redaction, audit logs, read-only probes, approval controls, and enterprise deployment options.

Frequently Asked Questions about HyperProbe

Q1. What is HyperProbe?
HyperProbe is an AI-powered production debugging platform that captures live runtime evidence to help identify software incidents.

Q2. Does HyperProbe require a redeployment?
No. Its probes are designed to work on running services without redeployment or restarting the application.

Q3. Which programming languages does HyperProbe support?
It currently supports JavaScript, TypeScript, Java, Kotlin, Python, and Ruby.

Q4. Is HyperProbe safe for production?
HyperProbe describes its probes as read-only and non-blocking. It also provides PII redaction and audit controls for production environments. Teams should still complete their own security review before deployment.

Q5. Is HyperProbe free?
Yes. The Free plan costs $0 forever and supports one service with unlimited probes and captures.

Causal: Pricing Plan

Free – $0 Forever

The Free plan supports 1 service with managed cloud hosting, unlimited probes and captures, 7-day capture history, MCP support, supported runtimes, default PII redaction, and an immutable audit log.

Professional – $99 per service/month

The Professional plan costs $99 per service per month, or $79 per service per month when billed annually with a 3-service minimum. It adds unlimited services, 30-day capture history, team probe policies, RBAC, Google and GitHub SSO, and self-hosting on request.

Enterprise – Custom Pricing

Enterprise plans provide self-hosted or private VPC deployment, custom data retention, advanced PII rules, approval gates, SAML SSO, SCIM, data residency, security review support, and contracted SLAs.

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Conclusion

HyperProbe is a promising AI debugging tool for teams that need faster and more evidence-based production incident response. Instead of relying only on logs and traces, it can capture the actual state of running code through read-only probes. This can help developers investigate silent failures, incorrect values, race conditions, and other problems that are difficult to reproduce locally. Its integration with modern coding agents makes it especially relevant for teams adopting AI-assisted software development. With a free plan, Professional features, and enterprise security options, HyperProbe provides different ways to adopt AI-powered production debugging based on team size and infrastructure requirements

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