Launching today
Hyperprobe
Lets your AI agents debug production without redeploying
370 followers
Lets your AI agents debug production without redeploying
370 followers
HyperProbe is how backend teams debug production issues they can't reproduce locally. Instead of adding a log line and waiting on a deploy, we let Claude Code, Codex, or Cursor drop read-only probes into a running service and capture the variable state that was never recorded. From there your agent debugs like it has a local repro, closing the bug in one sitting.
Hyperprobe
AI agents write and ship almost all our code to production. So when something breaks in production at 2AM, nobody can explain why the running system behaved that way.
Worse, these failures don't reproduce locally. They pass tests and code review. So when they fire in prod, your agent guesses from logs and traces that never captured the in-memory state at failure. Engineers add console.logs, redeploy, and wait, while the issue keeps bleeding users.
HyperProbe eliminates this loop. When something breaks at 2AM, your agent (Claude Code, Codex, Cursor) can now drop read-only probes into the running service using our MCP, and capture the exact variable values logs, traces never had. Probes are non-blocking and add zero-overhead. So instead of guessing and burning thousands of tokens, agents debug live issues like a local repro, without risking more downtime.
One of our users solved a payments issue in 9.5 minutes that previously took their engineers 4 hours.
We think the shape of telemetry will change from always-on to on-demand with agents. We have both spent years building and running production at scale, previously at OYO and LimeTray. We have seen how the context engineers carry was critical to running systems reliably. That context is shrinking fast with coding agents.
We'd love feedback from engineers and teams shipping fast who want their agents to have safe eyes and ears into running code. When was the last time you were pulled into a war room for something you could have fixed in 10 minutes if you had the right data?
Find a time at hyperprobe.co or write to shailendra@hyperprobe.co or karan@hyperprobe.co
👉 Add the SDK to your backend, plug our MCP into Cursor/Claude Code in 60 seconds and let it debug a issue in your staging environment (move to prod later)
@shailendra_singh_ht giving cursor actual prod context instead of making it guess from old logs is so smart, congrats for launch
OneCLI
Interesting approach, does customer sensitive data leave the application ever? How does this not affect certifications like soc2, gdpr, HIPAA etc
Hyperprobe
@guyb all data redaction happens in process before leaving your app containers, at no point of time we store, process or receive sensitive data
OneCLI
How do you make sure this doesn't slow down my app?
Hyperprobe
@jonathan_haim_fishner each sdk is designed to be performant under load. For worst case scenarios, perforance guardrails on cpu, memory, network, latency ensures that all data collection happens only when your app can afford the compute.
How do you handle sensitive product data when the probes capture variable state?
Hyperprobe
@renly_borris we do PII redaction in-process at the exact time the data is captured.
my question is does it affect my app data or not and second thing is when i use multiples apps at once dose it work smooth ?
Lancepilot
One Shot , drop 2 birds - Sentry & Datadog 😉