# HyperProbe HyperProbe é uma ferramenta de depuração em produção com assistência de IA que insere sondas somente leitura no código de aplicações em execução para capturar o estado das variáveis em tempo real, sem redeploy ou reinicialização. Ajuda as equipes de engenharia e de plantão a investigar incidentes cuja causa não aparece nos logs e traces. - Findings24: - Site: - Preços: Freemium - Categorias: Assistente DevOps IA, Ferramentas Dev IA ## O que é HyperProbe? HyperProbe is an AI-assisted production debugger for investigating failures in running applications. It reads logs and traces, identifies a suspected file and line, and places a read-only probe on that code path. When the line is reached by live traffic, the probe captures the variable state at that moment, giving engineers evidence that may not exist in application logs. The workflow is designed for incidents that are difficult to reproduce or that do not produce a useful exception. Probes are non-blocking and asynchronous: the service continues handling requests, and the probe clears after its configured limits are reached. HyperProbe supports JavaScript, TypeScript, Java, Kotlin, Python, and Ruby, and provides an MCP server for coding agents including Cursor, Claude Code, Codex, and Opencode. ## O que HyperProbe pode fazer? ### AI-guided incident investigation HyperProbe can pick up an alert from PagerDuty, Datadog, or Slack, read logs and traces, locate a suspected code path, and plan the debugging flow. ### Read-only live probes A probe acts as a virtual breakpoint on a selected line and captures the exact variable state observed on real traffic without writing memory or executing code. ### Production-safe capture controls Each probe supports a time-to-live, rate limit, and hit-expiry count. The probe clears when one of those limits is reached, helping bound collection on high-traffic services. ### No redeploy or restart The SDK and probe workflow are intended to inspect a running service without adding a log line, restarting the process, or pausing request threads. ### Agent and MCP workflow An MCP server lets supported coding agents drive probe placement and use the captured evidence during an investigation. The site says installation can be initiated through a prompt to a coding agent and typically takes about 15 minutes. ### Capture privacy and governance Default PII redaction runs at the agent before capture, and every probe is recorded in an immutable audit trail. Enterprise adds custom redaction rules, approval gates, and organisation-level policy ceilings. ## Casos de uso ### Silent failures Inspect values behind successful responses with incorrect content, swallowed exceptions, or business metrics that decline without an alert. ### Intermittent production incidents Capture state during a live spike or race condition when reproducing the problem locally would take too long or fail to reproduce the timing. ### Distributed failure diagnosis Follow an alert through logs and traces, then inspect a downstream or upstream handler when the stack trace points away from the actual cause. ### Third-party contract changes Examine live request data when a vendor introduces a new status or field that the application does not handle. ## Perguntas frequentes ### What does HyperProbe capture? It captures a read-only snapshot of live variable state at a specific line when the probe is reached by real traffic. The probe cannot write memory or execute code. ### Does using a probe pause requests or require a redeploy? No. The site describes probes as asynchronous and non-blocking, with no thread pauses or request waits. HyperProbe is designed to work without redeploying or restarting the service. ### How are probes prevented from running indefinitely? Every probe has a time-to-live, rate limit, and hit-expiry setting. It clears when any configured limit is reached. Enterprise can also apply organisation-level ceilings and approval policies. ### Which programming languages and coding agents are supported? The listed runtimes are JavaScript, TypeScript, Java, Kotlin, Python, and Ruby. The site lists Cursor, Claude Code, Codex, and Opencode as supported coding agents through its MCP server. Go is on the roadmap. ### Can captured data remain inside a company’s infrastructure? Yes, on Enterprise. The control plane and capture store can run in the customer’s VPC, with the site stating that captured values do not leave that network. Managed cloud deployment is available on the Free and Professional plans. ## Informações rápidas - **Category**: Developer Tool; AI SRE and incident tooling - **Primary users**: Software engineers, on-call teams, and security-conscious engineering organisations - **Core workflow**: Alert or incident → logs and traces → read-only probe → live state capture → root-cause confirmation - **Supported runtimes**: JavaScript, TypeScript, Java, Kotlin, Python, and Ruby - **Agent access**: MCP server for Cursor, Claude Code, Codex, and Opencode - **Deployment options**: Managed cloud; self-hosted or private VPC on Enterprise