Overview
Quality KPIs, Bivia token observatory and the Quality Autopilot launcher in one landing page.
QASyn turns a crawl, a requirement or a pull request into executable browser tests — then keeps a screenshot-backed record of every step. This guide adapts to your role, lets you search all 19 modules, and walks through the six workflows teams use most.
Permissions in QASyn are role-based. Pick a role to see the surfaces and actions available to it — the feature explorer below follows your choice.
A shared tour of the workspace. Use the tabs to focus the guide on what your role can do.
Search by module, action or outcome. Cards are tagged with the roles that use them most.
Quality KPIs, Bivia token observatory and the Quality Autopilot launcher in one landing page.
Impact analysis, risk scoring, provider comment, CI/CD gate Markdown and auto-regression on the deployed environment.
Map a site, record flows into requirements and generate linked draft cases. Re-import updates without duplicates.
Graphify topology, blast radius and coverage gaps so you know which code a change can break.
Import specs, track coverage, link test cases and export the library with per-column filters.
The master grid: all 11 test types, folders, step groups, bulk run/delete/export and per-column filters.
Reusable multi-step building blocks shared by test cases; edit once and every consumer stays in sync.
Author NLP steps, AI assertions and variables. Ground a selector, self-heal it, inspect versions and see the screenshot for every run.
Group cases by platform and module, track the latest result and run or export the suite in bulk.
Combine suites, bind environments, schedule runs, compare run matrices and export reports.
Environments, test-data profiles, global variables and auth profiles with encrypted secrets and CSV import.
Upload specs and spreadsheets, parse them into requirements and convert them into draft test cases.
Indexed product knowledge that improves AI generation and gives Bivia the context it needs.
Invite members, assign roles, verify accounts and control what each person can change.
Reach localhost or protected networks through a secure connector when no staging URL exists.
Connect source control, trackers, chat, Bivia and browser providers with encrypted credentials.
Plan, credits, ledger and the 1B-token Bivia observatory with calibration and abstention metrics.
Query your workspace from an AI assistant with a scoped API token and the Model Context Protocol.
Organisation profile, audits, analysis defaults, bug reproduction, API tokens and the Super-Admin Console.
Every data table header has a filter. Categorical columns offer distinct values; dates and text use substring search. Active filters show a dot and clear in one click.
Every executed step stores a screenshot in the step and run log. Step Details, run history and self-heal all render the persisted image.
Resolve an element from a description, DOM and screenshot. Get a calibrated selector, confidence and a 0–1000 bounding box.
Detect corrupt selectors, ask Bivia for a replacement, persist it with a version entry and re-run the case with fresh evidence.
Create an enterprise tenant with environments, a credit grant and a verified admin, then configure plan, seats, SSO and SLA.
Every dashboard action is backed by an authenticated route handler. Use the API drawer for the endpoints behind the six walkthroughs.
Each walkthrough maps a real user goal to the screens and API calls that complete it. Expand one to follow the steps.
Goal: go from a blank workspace to a passing run with screenshot evidence on every step.
TestCaseRun.stepsJson[i].screenshotBase64 and in the run’s logJson. The Type column always shows the exact type you chose.Goal: fix a broken or empty selector without guessing CSS.
variables.url / targetUrl / baseUrl, then the first Navigate target, then the org website.Goal: build a reusable baseline from a deployed application.
Goal: decide whether a PR is safe to merge using impacted tests and a deployed environment.
PR #n · … if none exist.regression_caught. Open the affected case → run history to inspect the failing step’s screenshot before merging.Goal: onboard a new customer without touching SQL or the database console.
Goal: find the exact rows you need and share evidence with the team.
The test case’s real target wins over the org default every time.
Passed, failed and healed steps all persist screenshots.
Auto-regression uses stable outcomes so PR verdicts do not flip randomly.