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Automate code review by connecting Bitbucket to AI Agent for smart pull request analysis. Latenode’s visual editor and JavaScript support enhance automation while pay-per-use pricing keeps costs low when scaling your workflows.
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Bitbucket
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Create a New Scenario to Connect Bitbucket and AI Agent
In the workspace, click the “Create New Scenario” button.
Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Bitbucket, triggered by another scenario, or executed manually (for testing purposes). In most cases, Bitbucket or AI Agent will be your first step. To do this, click "Choose an app," find Bitbucket or AI Agent, and select the appropriate trigger to start the scenario.
Add the Bitbucket Node
Select the Bitbucket node from the app selection panel on the right.
Bitbucket
Configure the Bitbucket
Click on the Bitbucket node to configure it. You can modify the Bitbucket URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the AI Agent Node
Next, click the plus (+) icon on the Bitbucket node, select AI Agent from the list of available apps, and choose the action you need from the list of nodes within AI Agent.
Bitbucket
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AI Agent
Authenticate AI Agent
Now, click the AI Agent node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your AI Agent settings. Authentication allows you to use AI Agent through Latenode.
Configure the Bitbucket and AI Agent Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Bitbucket and AI Agent Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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AI Agent
Trigger on Webhook
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Bitbucket
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Bitbucket, AI Agent, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Bitbucket and AI Agent integration works as expected. Depending on your setup, data should flow between Bitbucket and AI Agent (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Bitbucket + AI Agent + Slack: Whenever a new commit comment is created in Bitbucket, the AI Agent summarizes the comment. The summary is then sent to a designated Slack channel.
Bitbucket + AI Agent + Jira: When a new commit comment is created in Bitbucket, the AI Agent analyzes it for potential bugs. If a bug is detected, a new Jira issue is created.
About Bitbucket
Automate code deployments and issue tracking by connecting Bitbucket to Latenode. Trigger workflows on commit events, automatically update project management tools, and send notifications. Latenode provides a visual editor, affordable scaling, and custom JS nodes for complex branching and data transformation. Streamline your DevOps pipeline with flexible automation.
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About AI Agent
Use AI Agent in Latenode to automate content creation, data analysis, or customer support. Configure agents with prompts, then integrate them into workflows. Unlike standalone solutions, Latenode lets you connect AI to any app, scale automatically, and customize with code where needed.
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How can I connect my Bitbucket account to AI Agent using Latenode?
To connect your Bitbucket account to AI Agent on Latenode, follow these steps:
Can I automatically summarize commit messages using AI?
Yes! Latenode lets you trigger AI Agent from Bitbucket commits. Summarize complex changes instantly for better code review and project documentation, streamlining workflows.
What types of tasks can I perform by integrating Bitbucket with AI Agent?
Integrating Bitbucket with AI Agent allows you to perform various tasks, including:
How do I handle large repositories with the Bitbucket integration?
Latenode handles large repositories efficiently by processing data in chunks. Use JavaScript blocks for advanced filtering to manage large data volumes.
Are there any limitations to the Bitbucket and AI Agent integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: