Dev Workflow Automation
Developer Workflow Automation With AI
Increase control and consistency across your team with automation built for real-world workflows. Combine rule-based precision with AI-powered automation to accelerate reviews, enforce best practices, and protect your codebase.
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Core Automation Features
AI Powered Automations
Use GitKraken AI to detect risks, summarize pull requests, and guide reviewers with context.
Smart Condition Triggers
Set precise rules that react to file changes, stalled reviews, or large pull requests.
Standardized Team Rules
Apply consistent review practices across repos so every pull request follows the same workflow.
Critical Work Coordination
Ensure high priority or sensitive work reaches the right reviewers quickly and reliably.
Automate repetitive tasks and crucial checks
Alert Stale PRs Instantly
Automations catch what humans miss. Detect risky paths, large PRs, or forgotten reviews before they snowball. Combine AI insight with logical rules to stop issues early and route them to the right people fast.
Start Checks Automatically
Turn team rules into automatic behavior. Assign reviewers, add labels, or spin up checklists the moment a PR lands. GitKraken AI adds context like summaries, security cues, or missing tests so reviews move faster and smarter.
Simplify Complex PRs with AI
GitKraken AI assesses every pull request like a seasoned engineer. It can gauge size, complexity, and risk to flag oversized or high-impact changes before review. Automations can then act on those insights and assign reviewers, notify users, or summarize next steps.
Route Critical PRs Automatically
Automate the hand-offs that slow teams down. Standardize review rules across repos and contributors while staying flexible. Track who created which automations, perform bulk operations, and maintain administrative oversight across all your projects from a single dashboard.
Escalate Significant Risks to Managers
Escalate critical pull requests when conditions such as CI or CD failures, sensitive file edits, stalled reviews, or AI detected risks are met. Notify managers with the right context to ensure quick action.
Connected Across Your Git Workflow
GitKraken Desktop
See reviewer assignments and automation updates reflected right in your Commit Graph.
GitLens for IDEs
View automation signals and AI summaries without leaving VS Code.
GitKraken CLI
Trigger automations when you interact with pull requests via the CLI.
Issue Trackers
Build automations for repos hosted on GitHub, GitLab, Bitbucket, or Azure DevOps.
Ready to Automate Your Git Workflow?
Create and manage Automations from gitkraken.dev, the command center for every repo and review.
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Frequently Asked Questions
GitKraken Automations are customizable workflows you create and manage in gitkraken.dev. Each automation runs based on rules that detect activity in your Git repositories. When a condition is met, such as a file change or new pull request, actions like assigning reviewers or adding labels are triggered automatically.
To see all existing GitKraken Automations:
- Go to gitkraken.dev.
- Select Automations from the left menu.
- Choose List to view every automation in your organization.
- You can enable or disable automations, edit settings, or create new ones for connected GitHub, GitLab, or Bitbucket repositories.
You can create a new GitKraken Automation directly from gitkraken.dev.
- Navigate to Automations > List and click Create Automation.
- Select your Git provider (GitHub, GitLab, Bitbucket, or Azure DevOps).
- Name the automation and select a repository.
- Define conditions (triggers) and actions (responses).
- Save and enable your workflow.
Conditions define when GitKraken Automations run. You can trigger workflows by file path, PR author, or labels.
Actions define what happens next, such as adding a comment, applying a label, assigning reviewers, generating an AI PR description, or generating a checklist.
GitKraken AI adds intelligence to both triggers and actions.
- As a condition, it can evaluate a PR for complexity, security, or risk.
- As an action, it can generate summaries or suggest how to simplify large PRs.
- This helps reviewers focus on meaningful work instead of manual triage.
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