Hyperprobe is a runtime data layer for AI-native software development. It supplies AI coding agents with real-time production telemetry and debugger states from running services so they can diagnose and resolve bugs without redeployments.
The SDK installs in Node.js, TypeScript, and Java services. It supplies non-blocking read-only probes that capture actual variable values, thread state, and database connection details while adding less than one percent overhead. PII is redacted by default. The captured snapshot is returned directly to the agent in the same conversation thread, allowing it to identify a suspect line, assess impact, and propose a verified fix. The product is promoted for use with Cursor, Claude Code, Codex, and all other coding agents.
Metrics presented for teams that adopt it include reduction of time to root cause from three to four hours to approximately nine minutes, elimination of redeployments per incident, decrease in senior engineers pulled in from two or three to one, and observability costs lowered by forty to sixty percent. A snapshot example shows variable values such as user tier and balance alongside database pool statistics without pausing execution or affecting users.
Hyperprobe is an AI & ML project. AI coding agents lack real-time access to production runtime state, forcing engineers to manually grep logs, add debug statements, and redeploy repeatedly to diagnose bugs. It is built as a B2B product for developers and engineering teams using AI coding agents. Hyperprobe is available on the web.
Behind Hyperprobe is Hyperprobe, and it first shipped in 2024. Key capabilities include Runtime Probes, Real-time Telemetry, and Variable State Capture. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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