YY COMBINATOR · S26

Your coding agent writes code.Now let it fix prod too.

If your team uses Cursor, Claude Code, or Codex, you know the workflow. When prod breaks, you’re grepping logs, adding console.logs, redeploying, hoping the AI’s guess is right. It can take hours.

Hyperprobe’s SDK lets your coding agent capture actual runtime state from your running services. Non-blocking probes, real variable values, fix in minutes.

Read-only. PII redacted by default. <1% overhead.

TRY NOWBOOK A DEMO

Works with Cursor, Claude Code, Codex & all other coding agents·Node.js·TypeScript·Java

WHAT CHANGES WITH HYPERPROBE
Time to root cause
3–4 hrs
→
~9 min
Redeployments per incident
3–4*
→
0
Senior engineers pulled in
2–3
→
1
Observability bill
—
→
Reduced
40–60%
— AI DIAGNOSIS

Snapshot captured.Root cause in the same thread.

Your coding agent flags the suspect line. The SDK probes, captures the variable state, and hands it back. Your agent diagnoses, scopes the blast radius, and proposes a fix you can verify before merging. One conversation. One fix that works.

SNAPSHOT — line 34 · 14:23:07 UTC

Thread not paused · Zero user impact

VARIABLES

user.tier = 'free'

amount = 299.99

balance = None ← null silently

DB STATE

db_conn = timeout (3,000ms)

db.pool.active = 5 / 5 in use

db.pool.waiting = 12 queued

Hyperprobe AI · payment-service · INC-20240312-0047
AI

get_balance() returns None on DB timeout — the free-tier connection pool is saturated (5/5 slots). The code silently treats None as zero balance and throws InsufficientFunds. Users see the wrong error. Paid-tier pool is separate and unaffected.

How many users affected?
DEV
AI
ROOT CAUSE REPORT · MTTR: 9 MIN
CAUSE

847 failures · 89% free-tier · pool exhausted → null → wrong error shown

FIX

Pool 5→20. Raise DBTimeoutException explicitly, don't return None.

PREVENT

Circuit breaker on balance endpoint. Alert at pool > 80%.

— THE PROBLEM

When the log line isn't there, the AI guesses.And so do you.

AI writes more of your code every month. The dev debugging it didn't write it. The agent didn't predict where it would fail. So when something breaks, the variable you actually need to see was never logged — and neither of you has a way to find out what happened without redeploying.

PagerDutyTRIGGERED

High Error Rate — payment-service

Today at 23:04 IST · Assigned to on-call

SERVICEpayment-service
ERROR RATE↑ 12.4%
P95 LATENCY4,200 ms
FAILURES847 in 10 min
ALERT POLICYPayment SLA
application.log – payment-service – 23:04:17
✓ WHAT YOUR LOGS SHOW

23:04:17 ERROR payment-service: Transaction failed

user_id=usr_9182   amount=299.99

NullPointerException at line 32

PaymentService.processPayment(Order)

× WHAT YOUR LOGS DON'T SHOW — BUT THE BUG LIVES HERE
balance= null
← DB returned null silently
db.timeout= 3000ms
← connection timed out
db.pool.active= 5 / 5 in use
← pool exhausted
db.pool.waiting= 12 queued
← 12 requests stuck
user.tier= 'free'
← only free-tier affected
— THE SOLUTION

Real evidence. No redeploys.

Install the SDK once. When an incident fires, your coding agent picks the suspect line and tells HyperProbe to probe it. The SDK captures the exact variable state from your running service and hands it back. Your agent diagnoses from facts, not guesses.

STEP 01

Install the Agent

pom.xml

<dependency>

<groupId>io.hyperprobe</groupId>

<artifactId>agent</artifactId>

<scope>runtime</scope>

</dependency>

Add the SDK dependency, instrument your service, deploy. Commit once — never touch it again.

✓ One-time setup per service
STEP 02

Set a Breakpoint from IDE

PaymentService.java
32 public void process(Order o) {
33 Balance b = getBalance(o);
34if (b.amount >= o.total) {
35 deduct(o.userId, o.total);
36 }

Incident fires → open VS Code → click to set a live breakpoint. No redeploy. No restart.

✓ No redeploy. No restart.
STEP 03

Snapshot Captured

SNAPSHOT — line 34 · 14:23:07 UTC

Thread not paused · Zero user impact

VARIABLES

b.amount = null

o.total = 299.99

o.userId = 'usr_9182'

STACK TRACE

process():34 → handleRequest():112

When the breakpoint is hit by a real request, Hyperprobe captures the full state without pausing the thread.

✓ Zero impact on live traffic
— THE NUMBERS

Same incident. Same engineer. Same logs.One probe changes everything.

Here is exactly where the time goes, and where it disappears with Hyperprobe.

Where did it break?

LOGS + APM5 min
With HyperProbe5 min

Which users are affected?

LOGS + APM25 mintier not in logs, needs separate DB query
With HyperProbeInstantuser.tier = 'free', 89% of failures

What did the database return?

LOGS + APM60 minredeploy needed, not logged
With HyperProbeInstantbalance = null, timed out after 3000ms

Why did the database fail?

LOGS + APM60 minpool state invisible to logs
With HyperProbeInstantpool 5/5 full, 12 requests queued

What damage to users?

LOGS + APM90 minsilent null→zero only visible after multiple deploys
With HyperProbeInstantnull treated as zero, user saw wrong error

Total Incident Time

LOGS + APM3-4 hours
With HyperProbe9 minutes
— SECURITY & COMPLIANCE

Your three hard requirements. Met.

Production debugging requires absolute data compliance. Hyperprobe redacts sensitive information locally, meaning database-level and token-level PII never leaves your networks.

1

Read-only architecture

The agent cannot mutate application state, cannot crash your pod, cannot affect customer requests. Probes capture variable values from running memory. They never write. Zero blast radius by design.

2

PII redaction in-memory

Sensitive data is masked at the agent, in your infrastructure, before any snapshot is captured. PII never leaves your network. You configure the redaction rules; we never see the raw values.

3

Zero AI training on your code

Your snapshots, your code paths, your runtime data are never used to train foundation models. Not by HyperProbe. Not by upstream providers. Your IP stays your IP.

— CLIENT STORIES

See what our clients are saying.

Learn how our solutions have empowered our clients to debug in minutes.

★★★★★

"Sync issues used to take us days to reproduce locally. Hyperprobe caught the silent data mismatch in production on the first attempt."

Aishwarya Maurya

Tech Lead @ CheQ Digital

★★★★★

"During peak traffic, our listing service was black-boxing failures. Hyperprobe let us inspect the live memory state during the spike. We fixed the race condition in the same hour."

Bhagwan Bansal

SDE @ Housing.com

— FAQs

Questions engineers
actually ask.

Datadog tells you something broke. Hyperprobe tells you why. There's a gap between those two things — it's where your engineers spend 3–4 hours per incident. Hyperprobe fills that gap without replacing Datadog. The sale typically comes out of your existing observability budget.

Logs capture what you anticipated. Production bugs happen in the gaps — the variable state you didn't think to log, the DB return you assumed would never be null, the pool condition you didn't know to watch. Hyperprobe captures the exact state at the moment of failure, regardless of what you logged. It's not a replacement for logging. It's what you reach for when your logs don't have the answer.

The agent is read-only — it cannot execute code or write to memory. Every probe requires explicit approval. Breakpoints auto-deactivate at 0.5% CPU impact and expire after 30 minutes by default. Everything runs inside your VPC. PII is redacted at agent level before anything leaves your cluster.

Add one dependency to your pom.xml, deploy to production once, install the VS Code plugin. That's it. We've seen engineers place their first live breakpoint within 20 minutes of starting. We onboard every early access customer personally — if anything takes longer than 30 minutes, that's on us.

Yes. The core product is live breakpoints — place one, capture the snapshot, read the variable state yourself. The AI layer reads the snapshot and explains root cause in plain English, but it's additive. Engineers who know their codebase well often don't need it. Engineers on unfamiliar services find it cuts investigation time in half again.

Node.js, TypeScript, Java, Scala, and Kotlin today. VS Code plugin available now. IntelliJ on the roadmap. If your stack runs on JVM or Node — you're covered from day one.

Still got questions?

Schedule a short session with our platform engineering team.

Book a Demo

Your next production bug is coming.— Does your team have —9 minutes or 4 hours?

Drop HyperProbe into your staging environment in 10 minutes. Let your coding agent solve a real bug today.

No change-board approval. No production risk. No commitment.

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Works with Cursor, Claude Code, Codex  ·  Node.js · TypeScript · Java  ·  Early Access — Free to Start