Block 1 - Is issue creation successful?
- Type / Role
- n8n-nodes-base.if - if
- Config choices
- Version 2.2
This workflow is provided as-is. Please review and test before using in production.
Auto resolve Jira tickets with coding agents Coding agents can significantly speed up development, but crucial engineering context often gets lost in the process. This guide demonstrates how to use...
n8n-nodes-base.if, n8n-nodes-base.github, n8n-nodes-base.jira, n8n-nodes-base.jiratrigger, n8n-nodes-base.stickynote, @port-labs/n8n-nodes-portio-experimental.portapiai
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Port IO.
Original n8n.io sourceCoding agents can significantly speed up development, but crucial engineering context often gets lost in the process. This guide demonstrates how to use Port as a context lake in n8n workflows to automatically generate GitHub issues from Jira tickets with rich organizational context, ensuring that important information is preserved when assigning them to GitHub Copilot and linking pull requests back to Jira. This setup helps establish a seamless ticket-to-PR workflow, bridging the gap between Jira and GitHub while leveraging Port's comprehensive software catalog as a source of truth.
The n8n workflow orchestrates the following steps:
product_approved ticket to In Progress.⚠️ This template is intended for Self-Hosted instances only.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Auto-resolve Jira tickets with GitHub Copilot using Port Context |
|---|---|
| Complexity | intermediate |
| Nodes | 13 |
| Categories | Ticket Management, AI RAG |
| Author | Port IO |
| Published | 12 Dec 2025 |
Use the JSON export at /data/workflows/11728/11728.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Auto resolve Jira tickets with coding agents Coding agents can significantly speed up development, but crucial engineering context often gets lost in the process. This guide demonstrates how to use...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Ticket Management, AI RAG use case.