GitHub AI employee
A Superkind AI employee that connects to GitHub and creates issues, summarises pull requests, explains failed builds, and documents releases for you. Message it in Teams or Outlook, it does the work in GitHub and reports back with the result. Anything sensitive waits for your approval.
- Hosted in the EU
- GDPR data processing agreement
- Ready to start today
- Works in Teams, Slack and more
What is a GitHub AI employee?
A GitHub AI employee is an AI that connects to your GitHub account and completes work in it. It does not just answer questions about GitHub, it takes the actions: creating issues, checking pull requests, starting workflows, documenting releases. Superkind builds this AI employee with your company knowledge and delivers the finished result to wherever your team works.
Unlike workflow builders such as Zapier or Make, there is nothing to configure. No triggers, no zaps, nothing to maintain. You describe the outcome in plain English, the AI employee picks the right GitHub actions, chains them with your other systems, and asks for your approval before anything sensitive runs.
Code hosting and collaboration platform: Git repositories, issues, pull requests, and GitHub Actions for CI/CD.
You ask in Teams
Describe what you need in plain English.
Superkind picks the actions
Selects the right GitHub actions and chains them together.
Superkind works in GitHub
Creates issues, checks pull requests, starts workflows. Your real data.
Superkind reports back
Delivers the finished result to Teams or Outlook.
What can you ask Superkind to do in GitHub?
Messages you would actually send. Copy one, swap in your specifics, and Superkind takes it from there.
“Check GitHub for the latest failed build and summarise the likely cause for me.”
you, to @Superkind“Create an issue in the shop-backend repo from this customer email, label it bug, and assign it to the backend team.”
you, to @Superkind“Summarise every pull request merged this week as a draft for the changelog.”
you, to @Superkind“Let me know here as soon as a workflow fails on main, with a link and a short cause.”
you, to @SuperkindHow does Superkind work with GitHub?
- Native integrations and connectors for 1,000+ tools
1Connect your systems
GitHub via OAuth in one click. Plus the systems your team already uses: Microsoft 365, Teams, Outlook, SharePoint, Linear, or Jira. No webhooks, no zaps. Superkind handles the sign-in and gets to work.
@Superkind please check why the deploy workflow on main failed last night and create an issue.
On it. Checking the workflow runs on main and creating the issue.
2Tell Superkind what you need
Message your AI employee in Teams like a colleague. "Summarise the open PRs in the repo." "Create an issue for every point in the customer email." Plain English, any tool.
- Build "deploy-prod" failed
- Cause: STRIPE_KEY missing on runner
- Issue #482 created, backend team
Issue #482 createdWaiting for your approvalRe-run workflow "deploy-prod"?3Superkind operates, you approve
It opens GitHub, runs the work, and writes back what changed. Anything that changes code or access waits for your approval. Every step is logged.
What can Superkind do in GitHub?
Ask in plain English from Teams or Outlook. Superkind picks the right GitHub actions, runs the work, and reports back. No workflows to build.
Create repository
Creates a new repository with default branch, README, and licence.
Read file
Reads the content of a file from a branch, for example a config file or a changelog.
Create branch
Creates a branch from main or another ref for a feature or a hotfix.
Get commit history
Lists commits of a branch or time range with author and message.
Add collaborator
Invites a person to a repository with a specific permission level.
Create issue
Creates an issue with title, description, labels, and assignee, for example from a customer email.
Comment on issue
Adds a comment to an issue, such as a summary of the customer context.
Add labels
Adds labels to an issue. Labels that do not exist yet are created.
Assign issue
Assigns an issue to a person or team without removing existing assignees.
Search issues
Finds issues by text, label, state, or assignee across all repositories.
Close issue
Closes an issue with a reason, for example after the related pull request was merged.
Create pull request
Opens a pull request from a branch with description and reviewers.
Summarise pull request
Summarises changes, affected files, and open review comments in plain language.
Request review
Requests a review for a pull request from specific people or teams.
Merge pull request
Merges an approved pull request with the chosen strategy.
Get diff
Fetches the diff of a pull request or between two commits for a check.
Run workflow
Triggers a GitHub Actions workflow on a branch, for example a deployment.
List workflow runs
Shows the latest runs of a workflow with status, duration, and trigger.
Analyse failed runs
Reads the logs of a failed run and names the likely cause.
Get workflow logs
Fetches the logs of a run or a single job for debugging.
Create release
Creates a release with tag, title, and description.
Generate release notes
Writes release notes from the pull requests merged since the last tag.
List tags
Lists tags and releases of a repository with dates.
Create gist
Saves a code snippet or script as a gist, public or secret.
List organisation members
Shows members and teams of an organisation with their role.
Check secrets
Checks whether a required secret exists in a repository or environment, without reading its value.
Superkind uses GitHub together with your other systems
Ask for outcomes that span tools. The AI employee pulls from GitHub, cross-references the rest of your stack, and delivers one finished result.
Superkind AI employees that work with GitHub
Every role brings its own expertise and uses GitHub as one of its tools. See what they take over day to day.
Companies working with Superkind
Frequently asked questions
Everything you need to know about your AI employee for GitHub.
Yes. GitHub is one of the integrations Superkind connects through a managed connector. Once connected, anyone on your team can put the AI employee to work in GitHub from Microsoft Teams or Outlook. No workflow builder, no code. The AI employee only gets the permissions it needs for the agreed tasks.
Via OAuth in one click. An admin signs in to GitHub, selects the organisation or repositories, and confirms the permissions. The connection is then ready for the AI employee. We set this up together with you during onboarding, usually within the first week.
Everything the GitHub API allows: create, assign, and close issues, summarise pull requests and request reviews, run workflows and analyse failed runs, create releases and release notes. The list above shows typical actions. What your team actually needs is defined during onboarding.
No. With Zapier, Make, or Power Automate you build triggers and steps and maintain them whenever something changes. With the AI employee you describe the outcome in plain English. It picks the right actions itself, even when several tools are involved, and asks if something is unclear.
Only with your approval. Reading, summarising, creating issues, and commenting run on their own. Anything that changes code, deployments, or access waits for a yes from a responsible person, right in Teams. Your team decides which actions count as sensitive, not us.
The AI employee works with the GitHub permissions you grant it, usually limited to specific repositories. Superkind is hosted in the EU, we sign a GDPR data processing agreement, and model requests run without retention and without training. Every action in GitHub is logged and traceable.
For reference: GitHub Copilot Business costs 19 US dollars per user per month and helps write code, not complete tasks around issues, builds, and releases. Automation tools such as Zapier run 20 to 100 euros a month depending on volume, plus maintenance effort. Superkind is priced per use case, a fraction of a full-time hire.