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.
In this prototype credits are simulated; the Enterprise plan supports pooled credits across teams.
Not in this prototype: all analysis is mocked locally and stored in SQLite.