AI Tool

Hyperprobe Review

Hyperprobe is an AI tool that captures live state logs from running code, eliminating the need for redeployments or restarts when debugging incidents.

shipped Sep 5, 2026codefreemium

Domain rating24

code

Why it matters

1Hyperprobe was launched as a Y Combinator (YC S26) startup around August 2026.

2It offers a Free Plan ($0 forever) including 1 service and 7-day capture history.

3The Professional Plan is priced at $99 per service per month, with a 3-service minimum.

4Hyperprobe claims to reduce production debugging time from hours to minutes, citing a payments issue resolved in 9.5 minutes.

About Hyperprobe

Business Model

Subscription SaaS

Funding

Y Combinator

Platforms

Self-hosted, Private VPC

Target Audience

Engineering teams dealing with production debugging

Pricing Plans

Free

$0 forever

• 1 service
• Unlimited probes and captures
• Installs from a single agent prompt

Professional

$99 per service per month

• Unlimited services
• 30-day capture history
• Shared workspace and saved probes

Enterprise

Custom / annual

• Self-hosted or private VPC
• RBAC and approval gates
• Custom PII redaction rules

Investors

Y Combinator

overview

What is Hyperprobe?

Hyperprobe is a AI-powered on-call agent tool developed by Hyperprobe that enables AI agents, developers, and DevOps professionals to autonomously debug live software in production. It captures live state logs from running code, eliminating the need for redeployments or restarts when debugging incidents and providing real-time insights into errors without requiring code changes. Hyperprobe integrates with existing alert systems such as PagerDuty, Datadog, or Slack to automatically pick up incidents and deploy read-only, non-blocking virtual breakpoints (probes) into running production services.

features

Key Features of Hyperprobe

Hyperprobe provides a suite of features designed to streamline production debugging and incident response, focusing on real-time data capture and autonomous operation.

Captures live state logs from running code without redeployments or restarts.
Deploys read-only, non-blocking virtual breakpoints (probes) into production services.
Provides real-time insights into errors without requiring any code changes.
Offers unlimited probes and captures across all pricing plans.
Integrates with existing alert systems like PagerDuty, Datadog, and Slack.
Supports full probe configuration including TTL, rate limit, and hit expiry.
Includes a MCP server for coding agents such as Cursor, Claude Code, and Codex.
Features default PII redaction and an immutable audit log for security and compliance.
Provides a self-hosted option for Professional and Enterprise plans upon request.

use cases

Who Should Use Hyperprobe?

Hyperprobe is primarily designed for engineering teams, AI agents, developers, and DevOps professionals who require efficient and autonomous debugging capabilities in live production environments.

AI agents: To autonomously debug live software in production and provide a runtime observability layer for AI-written code.
Developers: To read exact variable states from memory at the moment of failure and diagnose production issues with real data.
DevOps professionals: To reduce production debugging time from hours to minutes and manage automated incident resolution.
Engineering teams: For debugging silent failures, memory leaks, OOM root causes, CPU spike isolation, and latency spike tracing in production.

how to use

How to Use Hyperprobe

Hyperprobe integrates with existing alert systems to automatically respond to incidents and deploy probes for real-time data capture. Users can configure probes and review captured data through the platform.

1Integrate Hyperprobe with existing alert systems such as PagerDuty, Datadog, or Slack.
2Hyperprobe automatically picks up incidents and analyzes logs and traces.
3If data is insufficient, Hyperprobe deploys read-only virtual breakpoints (probes) into the running production service.
4Probes capture exact variable states at the moment of failure without requiring redeployment or service restarts.
5Review the captured evidence and root cause analysis provided by Hyperprobe to diagnose and resolve issues.
6Utilize the platform for ongoing monitoring and debugging of production environments.

pricing

Hyperprobe Pricing & Plans

Hyperprobe offers a freemium model with tiered pricing based on the number of services, rather than per engineer. All plans include unlimited probes and captures.

Free Plan: $0 forever. Includes 1 service, managed cloud, unlimited probes and captures, full probe configuration, MCP server for coding agents, all supported runtimes, 7-day capture history, default PII redaction, immutable audit log, and community support.
Professional Plan: $99 per service per month (or $79 billed annually). Requires a 3-service minimum. Includes everything in the Free plan, plus unlimited services, 30-day capture history, team-level probe policy, RBAC, Google and GitHub SSO, self-hosted option on request, and a shared Slack channel with 1 business day response.
Enterprise Plan: Custom pricing, annual contract. Designed for teams with stringent requirements, offering advanced features and support.

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Pros

+Captures exact variable states from live production without redeployment or service restarts.
+Reduces production debugging time significantly, potentially from hours to minutes.
+Provides a runtime observability layer specifically designed for AI agents and AI-written code.
+Offers a free tier with substantial features for individual use and small teams.
+Integrates with popular incident management and communication tools like PagerDuty, Datadog, and Slack.
+Addresses silent failures and issues where traditional logs or traces are insufficient.

Cons

−As a newer tool (launched around August 2026), extensive independent user reviews are not yet widely available.
−The Professional Plan requires a minimum of 3 services, which might be a barrier for very small teams needing more than one service but less than three.
−Specific language or runtime support details are not explicitly listed, which could be a limitation for some environments.
−While it integrates with alert systems, the full scope of its autonomous resolution capabilities for complex incidents may require further evaluation.

Similar Tools

Hyperprobe vs Competitors

Hyperprobe differentiates itself by focusing on actively capturing missing data directly from live production environments, rather than solely reasoning over existing logs, traces, and metrics. This approach aims to provide precise evidence for debugging.

Sidekick Open Source Live Debugger↗

Provides a Chrome DevTools-like experience for backend debugging in remote environments without pausing the application.

Sidekick offers a self-hosted, open-source solution, which Hyperprobe does not. It focuses on providing a familiar debugging experience for backend code, similar to frontend browser tools.

TraceKit↗

Emphasizes 'trace-first' APM with dynamic logs and a flat pricing model without data volume fees.

TraceKit offers a more comprehensive APM suite alongside dynamic logging, whereas Hyperprobe focuses solely on live debugging. Its pricing is transparent and flat, unlike some other tools that might have hidden data volume charges.

Rookout↗

Focuses on providing comprehensive debugging data in real-time with non-breaking breakpoints across various environments (cloud-native, on-prem, serverless, containerized).

Rookout offers broader language support (JVM, Node.js, Python) and a more established platform for live debugging compared to Hyperprobe, which is newer and emphasizes AI integration.

LightrunOn Stork

Allows dynamic injection of logs, metrics, and snapshots from the IDE into live production systems without redeployments, with a focus on zero performance impact.

Lightrun provides a strong IDE-integrated experience for dynamic instrumentation, offering a similar 'no redeploy' benefit to Hyperprobe but with a broader focus on logs, metrics, and traces, not just snapshots. It also has a free tier for individual use.

See every Hyperprobe alternative, compared→

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