DevOps Engineer AgentFailed pipelines diagnosed with evidence, and fixed under approval.
The DevOps Engineer Agent triages pipeline failures against the last green run, prepares the remediation as a reviewable change, audits build configuration, checks deployment readiness, reports pipeline health, and keeps build artifacts and feeds in order. It runs inside your Azure DevOps project, and your branch policies, environment approvals, and release ownership still apply.
No card required. Your data stays in your Azure DevOps tenant.
- trigger pipeline nightly-ci failed
- check regression · commit a41f
- checkpoint rerun with fix · awaiting approval
A red build that arrives already diagnosed.
The best first workflow for this agent. A failed pipeline is an unambiguous trigger, the evidence is in Azure DevOps already, and a green rerun is an easy result to verify.
- 01Runs when a pipeline fails, on the pipelines and branches your team picked.
- 02Collects the logs, compares the run with the last green one, and correlates the merges since.
- 03Classifies the failure, regression, flaky, or environment, with the evidence attached for the owner.
- 04Proposes the fix and the rerun, and pauses for approval before anything changes under your branch policies.
PIPELINE TRIAGE · nightly-ci
- ✓ Logs and failing task found
- ✓ Compared with last green run
- ! Changes since last green
- ✓ Flaky history checked
- ! Fix ready to apply
Ships with
- Analyze Failed Pipeline
- Compare Pipeline Runs
- Audit Build Configuration
- Configure CI/CD Pipeline
- Author Infrastructure as Code
- Validate Deployment Readiness
- Verify Pipeline Health
- Verify PR-to-WorkItem Linkage
- Manage Secrets Configuration
- Configure Monitoring and Alerting
- Update Runbook
- Identify Code Owners
Six jobs your DevOps engineer can hand over.
Each one runs the same controlled sequence and leaves its output on the pipeline run, the PR, the work item, or the wiki, ready for the responsible engineer to review.
- JOB 01
Triage a failed pipeline.
Collect the logs, compare the failed run with recent and successful runs, correlate the changes since last green, classify the failure, and name the safest next action, with the evidence attached for whoever owns the stage.
dev.azure.com/contoso · Pipelinesrun started · pipeline nightly-ci failed
comparing with last green · 3 merges since
commit a41f touches failing stage
classification: regression, not flaky
checkpoint · rerun with fix proposed
- JOB 02
Prepare the remediation.
Turn the diagnosis into a code, YAML, dependency, environment, or configuration change, raised as a branch and PR so it goes through your branch policies and the required approval. Known fixes for common failures, such as variables, dependencies, and transient flakes, can follow a defined remediation.
dev.azure.com/contoso · Repos · PR !418run started · fix for nightly-ci run 1187
dependency pin reverted in build.yml
branch fix/nightly-ci-1187 · PR !418
linked to BUG 6120 · reviewers added
checkpoint · PR awaiting approval
- JOB 03
Check deployment readiness.
Before a stage deploys, check environments, service connections, secret references, dependencies, artifacts, approvals, tests, and rollback conditions, and post what is missing where the release is being decided.
dev.azure.com/contoso · Pipelines · release 2.4run started · gate: deploy to staging
environment, connections, artifacts ✓
rollback condition not defined
finding posted on the release record
checkpoint · awaiting release owner
- JOB 04
Audit build configuration and PR linkage.
Review pipeline definitions, templates, variables, and conditions against your policies, and check that every change in the build has a linked work item. Findings go on the pipeline or the PR, before they turn into an audit question.
dev.azure.com/contoso · Pipelines · Definitionsrun started · PR !421 edits pipeline YAML
checking stages, templates, conditions
continueOnError set on test stage
2 commits without a linked work item
record · findings posted on PR !421
- JOB 05
Report pipeline health on a schedule.
Summarize failure rate, duration, queue time, flaky tasks, recurring patterns, and ownership across your pipelines, and keep on-call dashboards current with build, deploy, and incident status.
dev.azure.com/contoso · Pipelines · Analyticsrun started · schedule: weekdays 07:00
reading 14 pipelines · last 7 days
nightly-ci queue time up · pool linux-2
health summary written to the wiki
record · dashboard updated
- JOB 06
Keep feeds and build artifacts in order.
Work with Azure Artifacts directly: list and manage feeds and their Local, Prerelease, and Release views, trace build outputs, tag artifacts by branch, version, or release status, and clean up stale artifacts and pipeline runs on a schedule.
dev.azure.com/contoso · Artifacts · Feedsrun started · schedule: monthly cleanup
GetFeeds · GetFeedViews · GetPackages
38 stale prerelease versions found
cleanup list proposed · 0 in Release view
checkpoint · awaiting feed owner
run started · pipeline nightly-ci failed
comparing with last green · 3 merges since
commit a41f touches failing stage
classification: regression, not flaky
checkpoint · rerun with fix proposed
ILLUSTRATIVE RUNS · EVERY RUN LANDS IN YOUR JOB LOG
It runs when the pipeline says so.
Manual, event-based, or scheduled. Every run starts from a trigger a person on your team set. The agent cannot add its own, and a disabled agent does not run at all.
- EVENT
A pipeline fails, a PR changes config, or a gate is reached.
Point it at the pipelines, branches, and stages that matter, so it runs on a failed nightly build or a YAML change and spends no credits on the rest.
- SCHEDULE
The health check comes round.
Schedule a manual agent once, daily, on weekdays, weekly, monthly, or yearly: the morning health summary, the nightly environment audit, the monthly artifact cleanup.
- MANUAL
An engineer asks.
Compare two runs, audit a pipeline definition, or check a deployment on demand from the agent, or call it from Copilot4DevOps Chat.
Detected
- scanning…
nightly-ci, from red to verified green.
The seven stages every run follows, shown on one pipeline-failure run. Click a stage or let it play.
01 Trigger
Run 1187 of nightly-ci fails at the integration-tests stage on main. The agent is configured for this pipeline and branch. Nothing else starts it.
What it reads. What it writes.
The agent retrieves only the Azure DevOps context, and approved external context, that the workflow needs. Scope it to a project, pipeline, branch, or environment.
| Context | It reads | It writes, creates, or updates |
|---|---|---|
| Pipelinesdefinitions and runs | YAML, templates, runs, stages, tasks, logs, variables, environments, approvals, and artifacts | Diagnoses, remediation recommendations, and reruns or approved delivery actions |
| Code and workwhat changed | Repos, commits, PRs, work items, test results, security findings, and previous successful runs | Tasks, branches, and PRs with pipeline or IaC changes, under policy |
| Artifactsbuilds and feeds | Build artifacts, Azure Artifacts feeds, feed views, packages, and the feed recycle bin | Feed and package changes, artifact tags, and cleanup of stale artifacts and runs |
| Operationsinfrastructure and runbooks | Infrastructure definitions, service metadata, monitoring and alert configuration, runbooks, and deployment topology | Updated runbooks, health reports, release records, and dashboards |
| Your policiesknowledge you attach | Organization policies, allowed tools, environment restrictions, and industry delivery controls | Nothing. Policies change only when your team edits them |
| The runevery time | — | A run record: trigger, actions, approvals, output, errors, and verification result |
Run it as shipped, or fork it.
Every agent is a versioned definition. Edit its instructions in plain English, attach your runbooks and pipeline standards as knowledge, choose which tool calls it may use, and re-version with rollback. You never write or see code.
Grounded in your own knowledge
With Bring Your Own Data, the agent retrieves from your uploaded documents, Azure DevOps queries, and wiki pages during the run, so its diagnoses follow your runbooks and conventions.
Your model, per agent
Choose the model this agent runs on and see its credit rate at selection. Enterprise brings your own LLM and key.
Versioned, with library updates
Restore any earlier version in one step. When the library version improves, compare yours with the new one, then keep yours or review and update.
knowledge
- pipelines"nightly-ci · release-*"
- runbook"pipeline recovery v4"
- tool_calls"Pipelines + Artifacts"
- environments"dev, staging only"
- use_byod"on · wiki + queries"
- approver"named, per workflow"
KNOWLEDGE UPDATED · SOP v3 attached
The agent diagnoses and prepares. Your pipeline owner approves.
Existing Azure DevOps permissions, branch policies, environment approvals, secret-management boundaries, and release ownership all apply. Deterministic rules govern states and gates, planner-based analysis handles diagnosis and remediation, and protected changes or operational actions need explicit approval.
Deterministic rules
- Required states and gates on pipelines
- PR-to-work-item linkage checks
- Artifact tagging by branch, version, or release status
Drafts, then waits for review
- Pipeline, YAML, and IaC changes
- Reruns and approved delivery actions
- Deleting feeds, packages, or pipeline runs
Never does
- Deploys to production unless you explicitly configure it
- Bypasses branch policies or environment approvals
- Moves credentials out of your secret store
Permissions
Allow and deny, per group.
Who can manage, delete, and inspect agents follows Allow and Deny per team or security group, set at project level with organization inheritance.
| Permission | Allow | Deny |
|---|---|---|
| Manage Agents | ||
| Delete Agents | ||
| Job Explorer | ||
| Manage Skills |
PROJECT LEVEL · ORGANIZATION INHERITANCE
Job log · per run
Every run, reconstructable.
- trigger
- work item 4821 updated
- checked
- criteria · links · fields
- changed
- +1 follow-up task
- approval
- awaitedgranted
- output
- draft accepted · verified
The same agent, inside your industry's delivery controls.
Industry variants add reproducible-build, safety and cybersecurity gate, validation, segregation-of-duties, release-baseline, or network-conformance requirements to pipeline and release workflows.
- Variant 01
Software / SaaS
- Variant 02
Automotive
- Variant 03
Medical Devices
- Variant 04
Aerospace & Defence
- Variant 05
Pharma / MedTech
- Variant 06
Finance / FinTech
- Variant 07
Telecommunications
Running services as well as pipelines? The SRE and Platform Engineer Agent correlates incidents with deployments, commits, and PRs, and verifies recovery, with the same seven industry variants.
All industries
Agents prepare, check, and maintain engineering artifacts. Qualified personnel keep responsibility for safety, regulatory, certification, and release decisions.
Hands off, explicitly.
A green pipeline is where release decisions start. Complex workflows coordinate several agents with explicit handoffs and approval boundaries.
DevOps Engineer Agent
TestQA Engineer Agent
Turns failed test runs into triage-ready defects and diagnoses flaky tests from result patterns.
ReleaseRelease Manager Agent
Sweeps release scope for open criteria and pending approvals, and assembles the rollback pack before go/no-go.
GovernCompliance Officer Agent
Audits branch policies, mandatory reviewers, and protected-branch enforcement nightly.
TraceRequirements Engineer Agent
Runs suspect-link analysis and posts impact summaries when a change touches requirements.
[ Trusted by Microsoft and industry leaders ]
Questions about the DevOps Engineer Agent.
It can apply a known remediation you have defined for a common failure, or prepare a code, YAML, dependency, or configuration change as a PR. Either way, the change follows the approval policy you configure and your branch policies.
A workflow may need metadata or approved secret references. Credentials stay in your secret-management system, and secret-management boundaries apply to the agent like any other identity.
Only if you explicitly configure the identity, environment permissions, approvals, rollback, and verification for it. Production execution is never implied by default.
Yes. The Artifacts Management tool calls cover feeds, feed views, packages, package lifecycle, downloads, and the recycle bin, alongside the build artifact functions. Enable only the ones each agent needs, from its Tools settings.
Triage of a failed pipeline. The trigger is unambiguous, the evidence already sits in Azure DevOps, and a verified green rerun shows value in the first week of the trial.
The DevOps Engineer Agent works on pipelines, delivery configuration, deployment readiness, and artifacts. The SRE and Platform Engineer Agent investigates incidents, correlates them with recent changes, and verifies recovery.
Credits are $0.01 each, pooled across your organization with no per-user fees. A rule-based check, such as PR-to-work-item linkage or artifact tagging, on an Execution Agent is a flat 4 credits, about $0.04. Investigating a failure across logs and changes is a deeper run that scales with context. Agents pause cleanly at zero.
No. The agent runs inside your Azure DevOps environment on the same security and trust model as Copilot4DevOps, with no separate login. Your project data is not used to train models.
Put it on your next red build.
Free trial with 2,000 credits, no card. Or bring one workflow to a 30 minute demo and watch the run live.
