
HyperProbe: debugger production AI & agent on-call
Debugger production native AI: snapshot variabel live tanpa redeploy

HyperProbe adalah debugger production native AI yang didukung Y Combinator. Tim backend bergerak dari alert ke root cause terkonfirmasi dengan virtual breakpoint read-only di kode yang berjalan, tanpa redeploy atau restart.
Apa itu HyperProbe? Penjelasan sederhana
HyperProbe menjawab: nilai variabel saat kegagalan apa, jika log tidak pernah merekamnya?
Alih-alih siklus log → CI/CD → redeploy, probe menangkap snapshot pada traffic nyata lalu hilang. Tanpa pause thread, tanpa dampak pengguna.
Ini debugger non-blocking untuk production, dikendalikan agent coding via MCP (Cursor, Claude Code, Codex, Opencode).
Masalah yang ditangani
Kegagalan diam, stack trace jauh dari penyebab, exception ditelan, race condition, drift API pihak ketiga, kode AI tanpa bukti runtime.
Probe dan keamanan
Read-only, non-blocking, TTL/rate limit/hit expiry, redaksi PII di agent, audit trail immutable.
Runtime: JavaScript, TypeScript, Java, Python, Ruby.
Alur AI on-call
PagerDuty, Datadog, Slack → rencana → probe → capture → RCA terkonfirmasi.
Harga (September 2026)
Tagihan per service, probe/capture tak terbatas.
- Free: $0, 1 service, managed cloud, riwayat 7 hari, MCP included
- Professional: $99/service/bulan ($79 tahunan, min. 3 service)
- Enterprise: custom, self-hosted/VPC, approval gates
FAQ
Perlu redeploy untuk debug production?
Tidak. SDK menyuntikkan probe in-process.
Ada batas probe?
Tidak — bayar per service yang diinstrumentasi.
Sepenuhnya di infrastruktur sendiri?
Ya, Enterprise di VPC Anda.
Sumber resmi
Installation and first capture
Paste one prompt into your coding agent with the installation guide. The agent installs the in-process SDK, wires your entrypoint, enables source maps, and registers the MCP server. Official docs target 15 minutes to first capture. Architecture: SDK agent inside your service plus a broker/control plane (managed or self-hosted).
Integrations: PagerDuty, Datadog, Slack for alerts; Cursor, Claude Code, Codex, Opencode via MCP for agent-driven debugging; VS Code extension for manual probes.
Comparison: with vs without HyperProbe
Without HyperProbe, engineers grep logs, add print statements, wait for CI/CD, redeploy, and hope the failure reproduces—often 2+ hours for a one-line fix. With HyperProbe, the agent locates the frame, places a probe in background, captures on next matching request, and confirms RCA in under 10 minutes in published examples—without redeploy cycles.
More FAQ
What counts as one service?
One application with the SDK installed. Forty Kubernetes pods still count as one service. HyperProbe does not bill per host, container, traffic volume, or seat.
Can we start managed and move to self-hosted?
Yes. The SDK is identical; self-hosted changes where the control plane runs, not your instrumentation.
Which alert sources are supported?
PagerDuty, Datadog, and Slack per the product website. The agent reads logs and distributed traces to plan probe placement.
Does HyperProbe replace observability tools?
No. It complements logs and traces by capturing variable state those signals miss—especially silent failures and logic bugs without exceptions.





