Time-Travel for Software Quality

Prevent Production Bugs with Confidence

Reproduce any production bug instantly — fix it once, and prevent repeats. Capture real incidents. Replay precisely. Turn every fix into a regression test automatically.

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Past clarity. Future confidence.

The Real Cost of Production Bugs

Production bugs don’t just break code. They cost trust, time and money.

When a production failure happens in a single moment, reproducing it is often impossible. Logs and traces fragment under complex, live data flows with thousands of messages and rapid state changes.

Senior Hours

Hours and days lost across Helpdesk, various backend, frontend, and QA teams

FE
BE
QA
TS-402

Task ping-pong between roles trying to guess the missing context

Senior engineers pulled into firefighting instead of delivery

!
PROD

Fixes ship without certainty, leading to regressions and repeat incidents

The Reality

Why production bugs are so hard to debug

In real production systems, failures rarely happen in isolation.

They emerge from a single moment — when data, messages, state, and timing collide.

Logs show fragments, not the full system state

Traces lose meaning when thousands of messages and side effects are involved

Session replays miss backend behavior and data mutations

By the time you investigate, the system has already changed

If you can’t reproduce the exact moment, you can’t be sure you fixed the real cause.

How TickState Works

Debug real incidents as if they happened locally

1. Record real behavior

Capture frontend + backend state from real user sessions

No guessing. No “cannot reproduce”.

2. Replay & debug locally

Open incidents directly in your IDE

Step through real execution, inspect state, switch between real and mocked services

3. Fix once → auto-generate tests

Every fix becomes a regression test

Prevents the same bug from ever reaching production again

Works with modern enterprise stacks. Designed for real systems, not demos.

Replay the Exact Moment

Replay Production Exactly as It Happened

TickState reconstructs the exact execution state that caused a failure—across user actions, frontend state, and backend behavior.

No guesswork No partial logs Accurate incidents
Deterministic Replay Engine
Debug and fix in Your Dev Environment

Debug and Fix directly on Your product page using Your Browser, Dev Tolls and IDE

Investigate incidents directly in your local dev setup. The production failure becomes a local, reproducible scenario—ready to debug, fix, and validate.

function replay() {
// deterministic state
const state = await fetchState();
return process(state);
}
Local Replay Environment
Analyze the Real Root Cause

Determine True Root Cause (Frontend + Backend)

Understand how real user actions triggered backend behavior. Trace failures end-to-end across services, APIs, and UI state to identify the real cause—not just symptoms.

End-to-End Trace
Turn Fixes into Automated Tests

Every Production Bug Becomes an Automated Test

Once fixed, TickState automatically converts the incident into a test. Prevent regressions and lock in confidence for future releases.

Fix it once Protect forever
✓ Auth Flow
✓ Checkout Process
✓ Data Integrity
▶ Regression #402
Regression Test Suite
Experiment Without Risk

Switch Between Real and Mocked Backends

Move seamlessly between real execution for accuracy and mocked responses for experimentation. Edit and validate fixes on the fly.

Real Backend Live
Mocked Response
200 OK
GET /api/user
"id": "usr_123"
"name": "Alex Smith"
"role":
Enterprise

Why Enterprises Choose TickState

Prevent repeat P1 incidents

Stop the cycle of recurring Sev-1 issues with deterministic reproduction.

Reduce MTTR

Cut down engineering firefighting by identifying root causes in minutes, not days.

Increase Confidence

Ship faster with the peace of mind that production failures are locked in as tests.

Protect Revenue

Ensure SLAs are met and keep your engineering focus on building, not fixing.

Safety & Scale

Built for Production at Scale

Observability Stack

Complements logs, traces, and APM without replacing them.

Scale Ready

Designed for teams of 20–200+ engineers and complex, distributed systems at enterprise scale.

Risk Reduction

Reduces MTTR and repeat P1 incidents by making failures deterministic and debuggable.

Security-First

Production-safe, security-aware architecture for sensitive data.

A Time Machine for Software Quality

Replay incidents, fix with certainty, protect what comes next.