Automate Release Note Generation with GitHub, Jira, and AI
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Streamline your release management process by automatically generating professional release notes. This workflow leverages GitHub webhooks, Jira issue details, and AI to create polished, client-ready release summaries.
About This Workflow
Tired of manually compiling release notes? This n8n workflow automates the entire process, saving you valuable time and ensuring consistency. It triggers on GitHub push events, extracts relevant commit messages, fetches detailed information from Jira, and then uses a powerful AI model (Google Gemini) to craft production-ready release notes in HTML format. These notes are then distributed via email, providing immediate visibility to stakeholders. Ideal for teams looking to enhance their DevOps practices and improve communication around software deployments.
Key Features
- Automated Triggering: Initiates workflow upon new code pushes to your GitHub repository.
- Intelligent Commit Parsing: Extracts Jira issue IDs from commit messages for accurate tracking.
- Jira Integration: Fetches detailed summaries and descriptions from Jira for comprehensive release notes.
- AI-Powered Content Generation: Utilizes Google Gemini to create professional, business-friendly release notes in HTML.
- Customizable Output: Generates release notes with a clear structure, including version, deployment date, overview, and key changes.
- Email Distribution: Automatically sends the generated release notes to designated recipients.
How To Use
- Configure GitHub Trigger: Connect your GitHub account and specify the repository and events to trigger the workflow (e.g., 'push').
- Set Up Code Node (Commit Parsing): Ensure the code node correctly parses commit messages to extract Jira IDs (e.g.,
ABC-123). - Integrate Jira Node: Connect your Jira account and configure the 'Get an issue' node to fetch details using the extracted Jira IDs.
- Process Jira Data: Use the 'Code2' node to extract and structure necessary fields from the Jira API response (summary, description).
- Merge and Format Data: Employ the 'Merge' and 'Code3' nodes to combine all gathered Jira information into a single, ready-to-use data structure for the AI.
- Configure AI LLM: Set up the 'Google Gemini Chat Model' and the 'Basic LLM Chain' node. Input your detailed prompt instructing the AI on the desired release note format (HTML) and content.
- Define Output Structure: Utilize the 'Structured Output Parser' to ensure the AI's output is correctly parsed for the release note content.
- Configure Email Sending: Set up the 'Send email' node with your SMTP credentials, recipient, and sender details. Map the generated release note content to the HTML field.
- Enable and Test: Activate the workflow and perform a test push to your GitHub repository to verify the entire process.
Apps Used
Workflow JSON
{
"id": "ed6c371a-08b7-4a7b-861d-21b021801111",
"name": "Automate Release Note Generation with GitHub, Jira, and AI",
"nodes": 28,
"category": "DevOps",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: ed6c371a-08b7...
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