Tests written from the spec, not from the diff.
Functional test cases generated from acceptance criteria, in plain language. Every test traces to a requirement and a PR. QA moves upstream.
A real auto-generated test case set traced to acceptance criteria lands here.
What changes for you
Define the bar before any code is written.
AI ships features faster than humans can write coverage. The fix isn’t to make humans faster — it’s to move test authorship to where the requirements already live.
Tests from acceptance criteria
When the PM writes the spec, the test cases generate alongside it. Same hour. Same artifact.
Traceability built in
One click from a test to the requirement that demanded it and the PR that delivered it.
Tests update with the spec
When acceptance criteria change, the test set updates. No orphans, no drift, no chase.
A day in the life
From last in line to first in line.
QA in 2026 finds out about new features when they land in staging. The Disco Parrot day moves test authorship to spec time and frees QA to focus on the work humans do best.
9:00am
See what shipped
Today
Open Jira. Three features merged overnight. None of them have test plans. The PR descriptions don’t explain enough to write coverage from scratch.
With Disco Parrot
Open the audit trail. Each merged PR has an auto-generated test set already attached, traced to acceptance criteria. Review what ran, not what to write.
10:00am
Write tests for tomorrow
Today
Open Confluence. Read a half-written spec for a feature that starts next sprint. Guess the edge cases. Write a test plan that may not match what engineering builds.
With Disco Parrot
Open the new initiative. Run /generate-test-cases. Acceptance criteria become natural-language test steps. Review and edit alongside the PM.
11:30am
Spec review with PM
Today
Suggest edge cases. PM says "good idea, I’ll add it." Six weeks later it’s not in the implementation.
With Disco Parrot
Edge cases become open questions in the plan. Tracked, assigned, resolved before /implement runs.
1:30pm
Regression sweep
Today
Run an aging Cypress suite. Five tests fail. Three are real bugs, two are flakes from outdated selectors. Spend an hour triaging.
With Disco Parrot
Tests run as part of /verify before the PR opens. Failures fail loudly, with the agent step that caused them named.
3:00pm
Traceability question
Today
"Does this test cover the requirement from the Q3 OKR?" Spend 30 minutes searching Jira, Confluence, and the test repo.
With Disco Parrot
Click the test. See the requirement, the initiative, the PR, and the audit trail. Three clicks.
4:30pm
Spec sign-off
Today
Email the PM: "I’ll write tests once engineering scopes this." Cycle continues.
With Disco Parrot
Approve the test set in the plan. Tests are ready before engineering starts. QA moves upstream.
Where Disco Parrot fits
We don't ask you to throw out your stack.
For each part of your day, Disco Parrot either replaces something that wasn't serving you, plugs into something that already works, or makes something existing measurably better.
Replaces
- checkHand-written test plans. Acceptance criteria generate the test set directly.
- checkPost-merge test backfill. Tests run before the PR opens, not after.
- checkConfluence test documentation. Tests live with the plan, in the repo, versioned.
- checkTest-coverage chase. Coverage matches the spec by construction.
Integrates with
- checkAzure DevOps Test Plans. Generated cases sync to ADO test artifacts.
- checkGitHub / Bitbucket PRs. Test results attached to the PR, in the audit trail.
- checkCypress / Playwright / Jest. Generated tests can scaffold into your existing framework.
- checkYour CI. /verify runs your suites before opening the PR.
Improves
- checkTime-to-coverage. From "weeks after merge" to "before the feature is built."
- checkRequirement traceability. One link from requirement → test → PR → audit trail.
- checkQA influence on spec. Edge cases become tracked open questions, not Slack suggestions.
- checkRegression suite quality. Generated tests stay in sync with acceptance criteria as they change.
The toolkit
The QA toolkit.
Six surfaces designed to move test authorship upstream and tie every test to the requirement it verifies.
Auto-generated test cases
From the plan’s acceptance criteria, in natural language. No code knowledge required to author or read.
Test steps describe what to click and what to verify. They map 1:1 to acceptance criteria. Editable in the same markdown that PMs use for specs.
Requirement → test → PR traceability
One link from the initiative all the way to the merge. Built into the audit trail.
Every test case is keyed to an acceptance criterion. Every criterion is keyed to an initiative. Every PR references the criteria it satisfies. Forensic queries become single clicks.
Tests update with the spec
When acceptance criteria change, the test set updates. No orphans, no drift.
Edit the criterion; regenerate the affected tests. The diff shows what changed and why. Old tests aren’t silently dropped — they’re flagged for review.
Verification before merge
Generated cases run against the agent’s implementation before the PR is created.
/verify executes the test set inside the sandbox. Failures halt the flow and surface the specific step that broke. The PR opens only when verification passes.
Schema-validated outputs
Test cases conform to a structured format, queryable across the portfolio.
A test is a structured object: steps, expected results, requirement reference, severity. You can query "show me every test for the payments domain" without grepping a directory.
Per-turn audit trail
Exactly which agent turn produced which test case, and which acceptance criterion it traces to.
See the agent’s reasoning step-by-step. Catch test cases generated against a misread requirement before they ship. Export to your audit store.
Plays well with what you already use
Works with the tools you already pay for.
Bring your own AI model. Bring your own sandbox. See the security architecture →
Every agent turn, tool call, and file write is logged server-side. Credentials never reach the browser. Sandboxes are ephemeral. Architecture →
Plan, build, and ship software with AI. Across your whole team.