01 · Change intelligence
Every PR, mapped to the flows it can break.
QASyn reads the diff, builds a blast radius and runs only the impacted tests — then writes the missing ones.
It watches every deploy, tests what changed, reproduces bugs from your tracker and turns production anomalies into regression tests — from a single command.
$ npm i -g @qasyn/cli && qasyn watch --all
$ qasyn watch --all
of regressions caught before merge
change-to-test coverage
faster bug resolution
lower cost of quality
01 · Change intelligence
QASyn reads the diff, builds a blast radius and runs only the impacted tests — then writes the missing ones.
02 · Investigations
Point QASyn at a Jira or Linear ticket: it reproduces the bug, captures a trace and suggests the fix.
03 · Production signals
Repeated payment attempts or login loops are replayed, reproduced and added to the regression suite.
Release risk analysis
Pick a pull request to see which business flows it touches and how QASyn scores the risk.
31 files changed
3 regressions caught before merge · stale token in auth/refresh.ts:87
Blast radius
Pricing
Simple credit-based plans. Move the sliders to find the best fit for your team.
Estimate your usage
Estimated credits
3,800
Best fit: Starter · ≈ $94/mo
Extra credits billed at $0.025 each.
Try QASyn on one repository, no card required.
$015 days
For small teams releasing weekly.
$49per month
For product teams releasing every day.
$249per month
SSO, private deployment and custom credit pools.
Customcustom
| Action | Cost |
|---|---|
| Test run | 1 credit / 4 steps |
| PR impact analysis | 10 credits |
| Bug analysis + RCA | 15 credits |
| Requirement upload | 20 credits |
| Ask a document | 5 credits |
| Browser recording | 2 credits |
| Site crawl | 500 credits |
| Full code analysis | 1,000 credits |
A unit of work: one test run consumes 1 credit per 4 steps, a PR impact analysis 10 credits, a bug analysis 15 credits.
Yes. Install the tunnel from onboarding step 2 — it opens an outbound-only connection with a tnl_ token, no inbound ports.
Unused credits follow your plan terms, and the Enterprise plan supports pooled credits across teams.
No. Analysis runs inside your workspace and results stay in your organisation's data boundary; private deployment is available for Enterprise.