For engineering & QA leads
AI for software testing.
Prepare checks for the change you’re shipping.
AI can help prepare focused cases from requirements and existing evidence. Your engineers review them, run the real checks and make the release decision.
Which checks cover the new export rule?
REQ-12 v2Target: sample B18
Managers export their own team’s rows. Viewers cannot export.Direct requests must follow the same specified access rule.
| Actor & request | Specified expected result |
|---|---|
Manager → own teamM1 / T1 · Request the T1 export. | Expected · Not run200 CSV: R11 onlyR21 absent |
Manager → other teamM1 / T1 · Directly request the T2 export. | Expected · Not run403 No CSV |
Viewer → direct requestV1 / T1 · Directly request the T1 export. | Expected · Not run403 No CSV |
FIXTURE-4: M1 (manager) and V1 (viewer) belong to T1. R11 belongs to T1; R21 belongs to T2. No other rows supplied.
Review → implement → run.
Use the real suite and target build. Attach actual build and result evidence before the release decision.
Earlier evidence: RUN-8 recorded a B17 download returning 200. It did not examine row scope or denials. No B18 result is supplied.
Illustrative test-preparation packet — no runner or model executed.
Requirements, coverage & build evidence
Build on the suite your team already uses.
We review your existing suite, CI/release process and requirements tooling first. Reuse or configure capabilities that already cover the change and its traceability.
Where gaps remain, we can implement regression coverage in your real code and test framework, then connect requirement versions, fixtures, runs and build evidence in the repository and release process. We agree code access and pipeline permissions, with a staff review view only if needed.
Automate an established repeated task Explore AI workflow automation
What change are you shipping?
We’ll work through the checks you already have and what needs configuring, connecting or building.