Software Deliveryapiweb

Incident response and hotfix

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

In short

Incident response and hotfix is an agent scenario in the Software Delivery sector running on the api, web channels. Trigger: Grafana alert: 5xx rate > 2% on the payments API (PagerDuty P1). The Incident Supervisor coordinates 4 specialist agents (Developer Agent, Tester Agent, Release Agent, Post-mortem Agent) across 5 systems (Observability (Grafana / Datadog), GitHub, Kubernetes / ArgoCD, Confluence, Slack); of 10 steps, 3 write to systems and 2 are checks or approvals. Outcome: Fix in production, error rate back to normal, incident record and post-mortem draft ready. Approval rule: Every emergency production deploy → on-call engineer approval; the hotfix PR still gets a human review.

Software Delivery

Incident response and hotfix

run #41,289,353elapsed 0 mstokens 0est. cost $0.000status —Approval rule: Every emergency production deploy → on-call engineer approval; the hotfix PR still gets a human review

Agents in this run

Incident Supervisorsupervisorplans, routes, approves

Developer Agentaginies-tulpar-4 · on-premReads logs and traces, reproduces the bug, writes the patch

Tester Agentaginies-tulpar-4 · on-premRuns the regression suite, checks the patch for side effects

Release Agentaginies-talay-2 · on-premDeploys the hotfix via ArgoCD, watches health

Post-mortem Agentaginies-sunkar-1 · on-premWrites the timeline and root-cause draft

Audit trail00:00.00

P1 alert: payments-api 5xx rate 6.8% (threshold 2%) since 14:02; INC-3312 opened
Last 30 min of logs and traces pulled: NullPointer starts with the 14:01 deploy v2.14.1
Reproduced: null currency field → PaymentMapper line 118, 3-line patch
Plan: patch branch → regression → on-call approval → deploy → watch → post-mortem
Branch hotfix/INC-3312 created, PR #2304: patch + regression test (+21 / −2)
Regression: 1,284 tests passed, new test catches the bug, no side effects
On-call engineer approved PR #2304 and the emergency deploy from Slack (4 min)
v2.14.2 deployed to production; 5xx rate down to 0.1% within 6 min
Post-mortem draft written to Confluence: detect 3 min, resolve 31 min, 5 actions
Resolution summary posted to #incidents, INC-3312 set to "resolved"
■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

Grafana alert: 5xx rate > 2% on the payments API (PagerDuty P1)

Outcome

Fix in production, error rate back to normal, incident record and post-mortem draft ready

Agents

SUPERVISOR

Incident Supervisor

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

aginies-tulpar-4 · on-prem

Developer Agent

Reads logs and traces, reproduces the bug, writes the patch

query_logsget_tracesreproduce_bugcreate_branchopen_pull_request

aginies-tulpar-4 · on-prem

Tester Agent

Runs the regression suite, checks the patch for side effects

run_testsrun_regressioncompare_baseline

aginies-talay-2 · on-prem

Release Agent

Deploys the hotfix via ArgoCD, watches health

deploy_argocdcheck_healthrollback

aginies-sunkar-1 · on-prem

Post-mortem Agent

Writes the timeline and root-cause draft

build_timelinedraft_postmortempublish_confluence_pagepost_slack

Steps

#	Kind	Agent	What happens	System	ms	tok
01	ingest	Incident Supervisor	P1 alert: payments-api 5xx rate 6.8% (threshold 2%) since 14:02; INC-3312 opened	—	160	—
02	tool	Developer Agent	Last 30 min of logs and traces pulled: NullPointer starts with the 14:01 deploy v2.14.1	Observability (Grafana / Datadog)	620	—
03	reason	Developer Agent	Reproduced: null currency field → PaymentMapper line 118, 3-line patch	—	2,400	5,200
04	plan	Incident Supervisor	Plan: patch branch → regression → on-call approval → deploy → watch → post-mortem	—	260	200
05	write	Developer Agent	Branch hotfix/INC-3312 created, PR #2304: patch + regression test (+21 / −2)	GitHub	1,400	2,600
06	verify	Tester Agent	Regression: 1,284 tests passed, new test catches the bug, no side effects	—	3,000	800
07	approval	Incident Supervisor	On-call engineer approved PR #2304 and the emergency deploy from Slack (4 min)	—	3,600	—
08	write	Release Agent	v2.14.2 deployed to production; 5xx rate down to 0.1% within 6 min	Kubernetes / ArgoCD	2,800	—
09	write	Post-mortem Agent	Post-mortem draft written to Confluence: detect 3 min, resolve 31 min, 5 actions	Confluence	1,600	2,200
10	notify	Post-mortem Agent	Resolution summary posted to #incidents, INC-3312 set to "resolved"	Slack	300	—

Simulation metrics (estimated)

320runs / month

90.5%success

15.8 sp50

$0.0159est. cost / run

Approval rule

Every emergency production deploy → on-call engineer approval; the hotfix PR still gets a human review

Step profile

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

SYSTEMS

Observability (Grafana / Datadog)api
GitHubapi
Kubernetes / ArgoCDapi
Confluencestorage
Slackchannel

What you need to run it

Credentials and a test environment for the enterprise APIs involved
Read access to the document store and the document types
Channel integration (WhatsApp Business API, SMS gateway or in-app widget)
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 agent-assisted incident response and blameless post-mortems at large SRE-driven engineering teams

Packages that include this scenario SDLC agent team → Sector: Software Delivery →

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

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