Jenkins AI employee
A Superkind AI employee that checks deployments, explains failed builds, summarises test results, and prepares new runs inside Jenkins. You message it in Teams or Outlook, it works directly in Jenkins and reports back with the result. Sensitive actions such as production deployments or job changes wait for your approval.
- Hosted in the EU
- GDPR data processing agreement
- Ready to start today
- Works in Teams, Slack and more
What is a Jenkins AI employee?
A Jenkins AI employee connects to your Jenkins account and completes work there. It checks jobs and builds, reads console output, summarises test results, and starts approved pipelines. Superkind builds it with your company knowledge, your rules, and your team processes.
Unlike Zapier or Make, there is nothing to configure. You describe the outcome in plain English, Superkind picks the right Jenkins actions, chains them with your other systems, and asks for your approval before sensitive steps.
Jenkins is an extensible open source automation server for builds, tests, pipelines, and continuous delivery.
You ask in Teams
Describe in plain English what you need to know about a build or pipeline.
Superkind picks the actions
Selects the right Jenkins actions and chains them with your other systems.
Superkind works in Jenkins
Checks jobs, reads console output, and prepares builds using your real data.
Superkind reports back
Delivers the finished result in Teams or Outlook and waits for you on sensitive steps.
What can you ask Superkind to do in Jenkins?
Just say what you need, add your specifics, and Superkind takes it from there.
“Check the latest zahlungsportal deployment in Jenkins and tell me its status, duration, and any unusual warnings.”
you, to @Superkind“Explain the most likely cause of this failed build using its console output and test results.”
you, to @Superkind“Create a Jira ticket for this Jenkins failure with the build link, cause, and affected pipeline.”
you, to @Superkind“Let me know here as soon as a new incident follows a failed production build, with cause and link.”
you, to @SuperkindHow does Superkind work with Jenkins?
- Native integrations and connectors for 1,000+ tools
1Connect your systems
An admin securely connects Jenkins to Superkind and grants only the required permissions. Teams becomes the place for questions, results, and approvals. Superkind can then read jobs, builds, and pipelines in Jenkins.
@Superkind please check why the Jenkins pipeline deploy-prod failed and prepare a new build with the same parameters.
On it. I am checking the console output and build parameters and preparing the new run.
2Tell Superkind what you need
Message Superkind in Teams like a colleague and say which Jenkins build to check. Name the pipeline, time range, or desired result. Superkind understands the task and picks the right Jenkins actions.
- Pipeline deploy-prod failed
- Cause: timeout in deploy stage
- Build #184 awaits approval
Build #184 preparedWaiting for your approvalStart build #184 in production?3Superkind operates, you approve
Superkind reads console output, test results, and build parameters in Jenkins. The result returns to Teams with specific findings. A production build or change to Jenkins waits for your approval.
What can Superkind do in Jenkins?
Ask in plain English from Teams or Outlook. Superkind picks the right Jenkins actions, completes the work, and reports back. No workflows to build.
List jobs
Lists Jenkins jobs with name, colour, URL, and latest build.
Get job details
Reads the configuration, parameters, latest builds, and downstream jobs of a Jenkins job.
Copy job
Creates a new Jenkins job from an existing job with the same configuration.
Disable job
Disables a Jenkins job so no new builds can start.
Delete job
Deletes a Jenkins job together with its stored build history.
Start build
Starts a Jenkins build with the intended parameters.
Get build status
Shows result, duration, timestamp, cause, and build number for a Jenkins build.
Compare builds
Compares changes, parameters, and results between two Jenkins builds.
Abort build
Aborts a running Jenkins build and records the reason.
Check build queue
Lists queue items with job, waiting time, cause, and blockage reason.
Check pipeline
Shows stages, status, duration, and failed steps of a Jenkins pipeline.
Read console output
Reads the progressive console output of a build and marks relevant error lines.
Explain failure cause
Infers the most likely failure cause from console output, stage, and build parameters.
Summarise pipeline history
Summarises success rate, run times, and recurring failures of a Jenkins pipeline.
Get test results
Reads passed, skipped, and failed tests from a Jenkins build.
Group test failures
Groups failed tests by suite, error message, and affected stage.
List artifacts
Lists artifacts from a Jenkins build with file name and relative path.
Get artifact
Retrieves a specific build artifact through its Jenkins path.
List nodes
Lists Jenkins nodes with status, labels, executors, and current load.
Check agent status
Checks whether a Jenkins agent is online and which jobs run there.
Check system load
Shows busy executors, queue length, and available capacity on the Jenkins controller.
Take node offline
Takes a Jenkins node out of build service with a reason.
List views
Lists Jenkins views and the jobs contained in each view.
Check plugins
Shows installed Jenkins plugins with version, enabled state, and available updates.
Check credentials
Checks existing credential IDs and scopes without reading any secrets.
Get system status
Reads the Jenkins version, controller state, quiet down status, and overall load.
Superkind AI employees that work with Jenkins
Every role brings its expertise and uses Jenkins as one of its tools.
Companies working with Superkind
Frequently asked questions
Everything you need to know about your AI employee for Jenkins.
Yes. Superkind connects to your Jenkins instance through a managed connector. The AI employee can then read jobs, builds, pipelines, queue items, console output, and test results. Your team directs it from Teams or Outlook. It receives only the Jenkins permissions genuinely required for the agreed tasks.
An admin provides the URL of your Jenkins instance and authorises a technical user with an API token. Together, we select the allowed jobs, folders, and actions. We then test the connection and an initial read operation. Your team can use the AI employee in Teams without maintaining credentials or Jenkins endpoints themselves.
It can list jobs, start and inspect builds, monitor queue items, read console output, retrieve test results and artifacts, and explain failure causes. It can also inspect nodes, agents, views, and plugins. You define which write actions it may perform during onboarding. The list above shows typical Jenkins tasks.
No. With Zapier or Make, you build triggers, steps, and error paths yourself. With the AI employee, you simply describe the desired outcome in Teams. Superkind picks the right Jenkins actions, connects them with Jira, GitHub, or Outlook when needed, and asks when details are missing. You maintain no additional workflow.
Only with your approval. Superkind can prepare a build, check its parameters, and show the planned action in Teams. The production run starts only after a responsible person approves it. The same applies to aborting running builds, deleting or disabling jobs, and taking a node offline. Your rules determine which actions are sensitive.
Superkind is hosted in the EU and signs a GDPR data processing agreement with you. The technical user receives minimal Jenkins permissions, such as access limited to specific folders and jobs. Your data is not used for training. Access, completed actions, and approvals are logged so your team can trace every step later.
Jenkins itself is open source and has no licence fee. Costs come from hosting, operations, plugins, and internal administration, often in the low hundreds of euros per month or more depending on the environment. Zapier starts at about 20 euros per month and Make at about 10 euros per month, both plus setup time. Superkind is priced per use case, a fraction of a full-time hire.