Software Deliveryapiweb

Feature delivery pipeline

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

In short

Feature delivery pipeline is an agent scenario in the Software Delivery sector running on the api, web channels. Trigger: Epic moved to the "Ready" column in Jira (webhook). The Delivery Supervisor coordinates 4 specialist agents (Analyst Agent, Architect Agent, Developer Agent, Tester Agent) across 4 systems (Jira, GitHub, CI Runner (GitHub Actions), Confluence); of 10 steps, 3 write to systems and 2 are checks or approvals. Outcome: PR merged to main with human approval, tests green, Jira and Confluence up to date. Approval rule: Every PR → at least 1 human code review approval; agents never push to main directly.

Software Delivery

Feature delivery pipeline

run #41,287,335elapsed 0 mstokens 0est. cost $0.000status —Approval rule: Every PR → at least 1 human code review approval; agents never push to main directly

Agents in this run

Delivery Supervisorsupervisorplans, routes, approves

Analyst Agentaginies-tulpar-4 · on-premBreaks the epic into user stories and acceptance criteria

Architect Agentaginies-tulpar-4 · on-premWrites the technical design, identifies affected services and the API contract

Developer Agentaginies-tulpar-4 · on-premCreates the branch, writes the code, builds, opens the PR

Tester Agentaginies-sunkar-1 · on-premWrites tests from acceptance criteria, runs them, reports coverage

Audit trail00:00.00

Epic PROJ-4821 "Invoice PDF export" moved to Ready, 3 sub-tasks
Epic description, comments and 2 linked design files read
3 user stories and 11 acceptance criteria written (Gherkin), PROJ-4821 updated
Plan: design → branch + code → tests → PR → human review → merge
Design note published: billing-service + new /invoices/{id}/pdf endpoint
Branch feature/PROJ-4821 created, 6 files changed (+412 / −38), build green
CI: 14 unit + 4 integration tests written and run, 18/18 passed, coverage 87%
Acceptance criteria 11/11 met, coverage above the 80% threshold → PR #2291 ready
PR #2291 → senior engineer reviewed, 2 comments addressed, approved
PR #2291 squash-merged to main; PROJ-4821 moved to "Done"
■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

Epic moved to the "Ready" column in Jira (webhook)

Outcome

PR merged to main with human approval, tests green, Jira and Confluence up to date

Agents

SUPERVISOR

Delivery Supervisor

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

aginies-tulpar-4 · on-prem

Analyst Agent

Breaks the epic into user stories and acceptance criteria

read_jira_issuewrite_acceptance_criteriaupdate_jira_issue

aginies-tulpar-4 · on-prem

Architect Agent

Writes the technical design, identifies affected services and the API contract

search_codebasedraft_design_docpublish_confluence_page

aginies-tulpar-4 · on-prem

Developer Agent

Creates the branch, writes the code, builds, opens the PR

create_branchedit_filesrun_buildopen_pull_request

aginies-sunkar-1 · on-prem

Tester Agent

Writes tests from acceptance criteria, runs them, reports coverage

generate_testsrun_testsreport_coverage

Steps

#	Kind	Agent	What happens	System	ms	tok
01	ingest	Delivery Supervisor	Epic PROJ-4821 "Invoice PDF export" moved to Ready, 3 sub-tasks	—	200	—
02	retrieve	Analyst Agent	Epic description, comments and 2 linked design files read	Jira	420	—
03	reason	Analyst Agent	3 user stories and 11 acceptance criteria written (Gherkin), PROJ-4821 updated	—	1,600	2,400
04	plan	Delivery Supervisor	Plan: design → branch + code → tests → PR → human review → merge	—	300	220
05	write	Architect Agent	Design note published: billing-service + new /invoices/{id}/pdf endpoint	Confluence	1,900	3,100
06	write	Developer Agent	Branch feature/PROJ-4821 created, 6 files changed (+412 / −38), build green	GitHub	3,600	9,800
07	tool	Tester Agent	CI: 14 unit + 4 integration tests written and run, 18/18 passed, coverage 87%	CI Runner (GitHub Actions)	2,800	4,200
08	verify	Tester Agent	Acceptance criteria 11/11 met, coverage above the 80% threshold → PR #2291 ready	—	640	520
09	approval	Delivery Supervisor	PR #2291 → senior engineer reviewed, 2 comments addressed, approved	—	4,000	—
10	write	Developer Agent	PR #2291 squash-merged to main; PROJ-4821 moved to "Done"	GitHub	520	—

Simulation metrics (estimated)

1,200runs / month

91.2%success

15.5 sp50

$0.0173est. cost / run

Approval rule

Every PR → at least 1 human code review approval; agents never push to main directly

Step profile

ingest · 1plan · 1retrieve · 1reason · 1tool · 1verify · 1approval · 1write · 3

SYSTEMS

Jiraticketing
GitHubapi
CI Runner (GitHub Actions)api
Confluencestorage

What you need to run it

API access and assignment rules for the ticketing or work-order system
Credentials and a test environment for the enterprise APIs involved
Read access to the document store and the document types
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

Mirrors agentic SDLC pipelines emerging at large software organisations

Packages that include this scenario SDLC agent team → 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

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

Software DeliveryHITL

Incident response and hotfix

Alert fires, bug reproduced, patch and regression run ready; on-call approves, post-mortem already drafted.

320 runs / month 90.5% 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