Software Deliveryapibatch

Regression test cycle (hired QA agent)

Regression runs on every release candidate, new bugs are filed with evidence, a coverage report is written; the “go” decision stays with the release manager.

In short

Regression test cycle (hired QA agent) is an agent scenario in the Software Delivery sector running on the api, batch channels. Trigger: Release-candidate tag from CI. The QA Supervisor coordinates 3 specialist agents (Test Plan Agent, Execution Agent, Defect Agent) across 4 systems (CI/CD, Device / Browser Grid, Jira / Xray, Workforce Work Log); of 9 steps, 2 write to systems and 2 are checks or approvals. Outcome: Regression result, filed bugs and coverage report on the release record; work log updated. Approval rule: The release “go / no-go” decision stays with the release manager.

Software Delivery

Regression test cycle (hired QA agent)

run #41,289,907elapsed 0 mstokens 0est. cost $0.000status —Approval rule: The release “go / no-go” decision stays with the release manager

Agents in this run

QA Supervisorsupervisorplans, routes, approves

Test Plan Agentaginies-tulpar-4 · on-premSelects and extends the test set by changed areas

Execution Agentaginies-sunkar-1 · on-premRuns the tests, isolates flaky ones

Defect Agentaginies-talay-2 · on-premFiles bugs with evidence and steps, writes the report

Audit trail00:00.00

RC 2.14.0-rc3: 23 commits, changed areas payments, profile, notifications
412 tests selected (full regression), 9 new scenarios derived from acceptance criteria
Run on 3 browsers + 4 devices: 409 passed, 3 failed; 2 passed on retry (flaky)
Remaining failure consistent: payment summary rounding difference (0.01)
BUG-2291 filed: steps, screen recording, logs; priority high, assigned to the payments team
Report: coverage 91%, 2 flaky tests quarantined, escaped defects 0 (previous release 1)
Release manager: “no-go” until BUG-2291 is fixed; re-run scheduled for rc4
Work log: 412 tests · 1 bug · 9 new scenarios · hour-equivalent 11 · quality 4.8
Report link and next run time sent to the team
■completed

Simulation · derived from real agent definitions · every agent can be built by dialogue with the Autonomous Agent and validated with a test corpus

Trigger

Release-candidate tag from CI

Outcome

Regression result, filed bugs and coverage report on the release record; work log updated

Agents

SUPERVISOR

QA Supervisor

Decomposes the objective, delegates to agents, manages approval points, merges the result.

aginies-tulpar-4 · on-prem

Test Plan Agent

Selects and extends the test set by changed areas

get_release_diffselect_testsgenerate_cases

aginies-sunkar-1 · on-prem

Execution Agent

Runs the tests, isolates flaky ones

run_playwrightrun_xcuitestretry_flakycollect_artifacts

aginies-talay-2 · on-prem

Defect Agent

Files bugs with evidence and steps, writes the report

file_bugwrite_reportlog_work

Steps

#	Kind	Agent	What happens	System	ms	tok
01	ingest	QA Supervisor	RC 2.14.0-rc3: 23 commits, changed areas payments, profile, notifications	CI/CD	200	—
02	reason	Test Plan Agent	412 tests selected (full regression), 9 new scenarios derived from acceptance criteria	—	900	1,300
03	tool	Execution Agent	Run on 3 browsers + 4 devices: 409 passed, 3 failed; 2 passed on retry (flaky)	Device / Browser Grid	1,800	—
04	verify	Execution Agent	Remaining failure consistent: payment summary rounding difference (0.01)	—	520	380
05	write	Defect Agent	BUG-2291 filed: steps, screen recording, logs; priority high, assigned to the payments team	Jira / Xray	520	—
06	reason	Defect Agent	Report: coverage 91%, 2 flaky tests quarantined, escaped defects 0 (previous release 1)	—	700	640
07	approval	QA Supervisor	Release manager: “no-go” until BUG-2291 is fixed; re-run scheduled for rc4	—	2,600	—
08	write	Defect Agent	Work log: 412 tests · 1 bug · 9 new scenarios · hour-equivalent 11 · quality 4.8	Workforce Work Log	300	—
09	notify	Defect Agent	Report link and next run time sent to the team	Jira / Xray	240	—

Simulation metrics (estimated)

260runs / month

95.8%success

8.6 sp50

$0.0165est. cost / run

Approval rule

The release “go / no-go” decision stays with the release manager

Step profile

ingest · 1reason · 2tool · 1verify · 1approval · 1write · 2notify · 1

SYSTEMS

CI/CDapi
Device / Browser Gridapi
Jira / Xrayticketing
Workforce Work Logdb

What you need to run it

Credentials and a test environment for the enterprise APIs involved
API access and assignment rules for the ticketing or work-order system
Read access to the database or vector store; a data owner
An authorised role and approval channel for the approval rule (mobile approval card, e-mail or ticket)
SSO with the organisation’s identity provider and a scenario-specific authorisation group

Global pattern

The hired QA agent model: an agent that runs every release and files evidenced bugs instead of an outsourced tester

Packages that include this scenario Agent outsourcing (agent workforce) → Sector: Software Delivery →

Related agents

Software DeliveryHITL

Legacy module modernisation: analysis, tests, rewrite, PR

Starts from a Jira epic; the old module is read, its behaviour pinned with tests, rewritten and opened as a PR with evidence.

1,900 runs / month 90.4% success 5 agents

Software DeliveryHITL

Feature delivery pipeline

A Jira epic turns into criteria, design, code and tests via agents; humans only review and approve the PR.

1,200 runs / month 91.2% success 5 agents

Software DeliveryHITL

CI/CD release pipeline

Build, tests, scans and staging run unattended; production ships only on release-manager approval, via ArgoCD.

950 runs / month 94.7% success 5 agents

Time to move from experimenting with AI to transforming with it.

In a 30-minute discovery session we take your 2–3 priority business problems, show a live demo of a similar scenario, and draft a roadmap that starts with the Value layer.

Book a 30-minute discovery session → dahi@aginies.com

Your 2–3 priority problems
Live demo of a similar scenario
Roadmap starting with value analysis