Don't waste 30 minutes a day
reading code review warnings
Most code review warnings are style issues and false positives.
HyperTest catches only the bugs that break production—race conditions, API breaks, N+1 queries—so you spend 5 minutes reviewing instead of 30.
How It Works
Four simple steps from traces to findings
1
📊
HyperTest SDK integrates into your running code and captures detailed execution traces—requests, responses, database calls, and API interactions.
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Complete request lifecycles
All outbound calls
Execution order and timing
Data flows
Know your code:
Understand what actually executes
Trace Collection
SDK Captures Execution Data
2
🗺️
HyperTest analyzes traces to build a detailed map of your code's real behavior—dependencies, sequences, timing, and data flows across services.
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Execution sequence
Service dependencies
Timing relationships
Authentication chains
Separate signal from noise:
Know what matters vs what doesn't
Build Execution Map
Analyze Traces
3
⚡
When a PR opens, HyperTest replays baseline traces against the feature branch code. Outbound calls are mocked, execution is isolated, but code runs for real.
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Same trace inputs
Mocked external responses
Isolated execution
Real code execution
Fast reviews:
Get actionable findings in minutes, not hours
Replay on Feature Branch
Run Code Changes
4
✓
HyperTest compares execution against baseline to find divergence. Reports 5-10 high-signal findings per PR—each backed by execution traces and reproduction steps.
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API contract breaks
Race conditions
Performance regressions
Real code execution
Ship with confidence:
Only findings that break production, backed by proof
Detect & Report
Find Issues, Get Findings
Findings That Matter
These bugs slip through every code review tool. HyperTest catches them. Your team ships faster.
The Mobile App Killer
API Contract Break • 50K Users Protected
return {
- name: { first: user.firstName, last: user.lastName
},
+ name: user.fullName,
}
CODE CHANGE
HYPERTEST FINDING
🚨 CRITICAL: Breaking API Contract
Response structure changed. 3 downstream consumers access nested structure.
Evidence:
New code returns flat string; master trace shows nested object
Impact:
Mobile app crashes; analytics stops
Confidence:
98%
The Inventory Gap
Race Condition • Concurrency Bug
async function purchase(itemId) {
- if (stock >= qty)
+ if (stock > 0)
await decrement();
}
CODE CHANGE
HYPERTEST FINDING
⚠️ RACE CONDITION
Unprotected read-modify-write pattern. Traces show 2.1ms gap.
Evidence:
Timing window between check and decrement
Impact:
Inventory goes negative
Confidence:
95%
The Silent Auth Bypass
Middleware Bug • Security Vulnerability
// Middleware reorder
- app.use('/api/admin', auth, routes)
+ app.use('/api', auth)
+ app.use('/api/admin', routes)
CODE CHANGE
HYPERTEST FINDING
🚨 CRITICAL: Auth Bypassed
Middleware execution order changed.
Evidence:
Admin endpoints no longer protected
Impact:
All admin endpoints exposed
Confidence:
100%
The N+1 Query Killer
Performance Regression • Database Load
async function getUsers(ids) {
- const users = await db.users.findMany({
- where: { id: { in: ids } }
- });
+ const users = ids.map(id =>
+ db.users.findOne({ id })
+ );
}
CODE CHANGE
HYPERTEST FINDING
⚠️ N+1 Queries
Query count: 1 → 500. Latency 12ms → 840ms.
Evidence:
500 individual queries in new code
Impact:
API timeout at scale
Confidence:
100%
Why We Built HyperTest
We were spending 30+ minutes every day reading code review warnings. Most weren't real issues. The actual bugs—race conditions, API breaks—still made it through to production. We needed a better way.
— Engineering team that lived this pain
The Problem with Current AI Code Review
Static analysis guesses at problems. HyperTest proves them with
runtime execution.
Problem | What Developers Experience | HyperTest Difference |
|---|---|---|
Context Blindness | Analyzes code snippets in isolation without understanding cross-service dependencies or actual execution flow. Code passes review. Devs spend more time fixing bugs later. | Sees the complete execution flow—knows exactly what will break |
Alert Fatigue | Read 100+ style/syntax warnings mostly all noise. Eventually ignore comments because none look like P0 production issues. | 5-10 findings per PR—only bugs that break production |
No Proof | "This might be a problem" - vague warnings without reproduction steps. You ship anyway. | Proof with execution traces, reproduction steps, confidence scores |
Cost of Being Wrong | One missed critical bug in code review = 4-hour production incident = late night debugging | Catches before it ships—with concrete evidence |
The Real Impact
What changes when you switch to HyperTest
⏱️
Before: 30 minutes per PR
6x Faster
Code review time
🎯
Before: 100+ warnings
98% Less Noise
False positives eliminated
🛡️
Before: 1 bug missed/quarter
100% Caught
Production-breaking bugs
What Developers Are Saying
Finally have confidence when we ship. HyperTest caught a race condition that would have been a 4-hour incident. Saved us.
YR
Yuvraj Rautela
Software Engineer, Probo
Code reviews that used to take 30 minutes now take 5. We ship features 6x faster without sacrificing safety.
KS
Kota Sreekanth Reddy
QA Engineer, Porter
Frequently Asked Questions
Everything you need to know about HyperTest
HyperTest analyzes what it can see. For code paths executed in your test suite, we provide runtime-informed analysis. For untested code paths, we fall back to static analysis similar to traditional tools—flagging structural issues but without runtime proof. We show you exactly which code is covered by traces and which isn't.
Traces come from anywhere code actually executes: your integration test suite in CI/CD, manual testing in staging, QA environments, or even lower production environments. We instrument with OpenTelemetry to capture execution data. The source doesn't matter—what matters is that the traces represent real code behavior.
Most code review tools flag style issues and potential problems. HyperTest proves bugs with execution traces. If your current tool says 'this might break the API,' HyperTest says 'this breaks the API—here's exactly which requests fail and why.' It eliminates false positives and catches runtime bugs static tools miss.
Initial setup takes 30 mins per repo: integrate with your repository, configure OpenTelemetry in your test environment, run baseline traces. But the ROI compounds because HyperTest is the test agent you truly want to prevent issues from slipping into production. You're investing less time in setup than you would have otherwise spent fixing bugs.
Three things:
1. Connect your GitHub/GitLab repo
2. Add OpenTelemetry instrumentation to your test suite
3. Run baseline traces once
That's it. Then HyperTest analyzes every PR automatically.