Turn new Jira tickets into CloudCLI AI coding sessions with Claude Code

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1. Workflow Overview

Best for

Engineering automation workflows
AI Chatbot automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.jiratrigger, n8n-nodes-base.set, @cloudcli-ai/n8n-nodes-cloud-cli.cloudcli, n8n-nodes-base.jira

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Simos Mikelatos.

Original n8n.io source

1.1 Workflow description

Title: Turn new Jira tickets into CloudCLI AI coding sessions with Claude Code
Workflow name: Turn new Jira tickets into CloudCLI AI coding sessions with Claude Code

Turn new Jira tickets into automated AI coding sessions. When a ticket is created, this workflow runs an AI coding agent (Claude Code, Cursor CLI, or Codex) on the task inside a CloudCLI cloud dev environment and posts the results and the links to continue the AI coding session from mobile or an IDE, back to Jira.

How it works

A Jira trigger fires when a new issue is created.
The ticket summary and description are composed into a prompt for the AI coding agent.
CloudCLI runs the agent inside an isolated cloud container.
The agent's output, VS Code and Cursor deep links, and an SSH resume command are posted back to Jira as a comment.

Reviewers can open the environment in their preferred IDE or SSH in and run claude -r to resume the session from terminal.

Set up steps

Install the CloudCLI verified community node from the n8n nodes panel.
Connect your Jira Cloud and CloudCLI API credentials.
Select your target environment in the "Get Environment Details" node.
Customize the prompt template in "Compose Agent Prompt" to match your codebase.

Requirements

Jira Cloud account CloudCLI account with API key (cloudcli.ai) A running CloudCLI environment with your repo cloned AI provider API key configured in your CloudCLI dashboard (e.g. Anthropic for Claude Code)

How to customize

Add an IF node to filter by label (e.g. auto-code) or issue type.
Enable "Create Pull Request" in the agent's options to auto-open a PR.
Add a Slack node to notify your team when the agent completes.
Replace the Jira trigger with Linear, GitHub Issues, or Asana.

1.2 Logical Blocks

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.

2. Block-by-Block Analysis

Block 1 - Sticky Note - Overview

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 2 - Sticky Note - Step 1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 3 - Sticky Note - Step 2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 4 - Sticky Note - Step 3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 5 - Sticky Note - Step 4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 6 - Sticky Note - Community Node

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 7 - New Jira Issue Created

Type / Role: n8n-nodes-base.jiraTrigger - jiraTrigger
Config choices: Version 1.1

Block 8 - Extract Ticket Details

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 9 - Compose Agent Prompt

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 10 - Get Environment Details

Type / Role: @cloudcli-ai/n8n-nodes-cloud-cli.cloudCli - cloudCli
Config choices: Version 1

Block 11 - Run AI Coding Agent

Type / Role: @cloudcli-ai/n8n-nodes-cloud-cli.cloudCli - cloudCli
Config choices: Version 1

Block 12 - Extract Agent Result

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 13 - Post Results to Jira

Type / Role: n8n-nodes-base.jira - jira
Config choices: Version 1

3. Summary Table

Workflow	Turn new Jira tickets into CloudCLI AI coding sessions with Claude Code
Complexity	intermediate
Nodes	13
Categories	Engineering, AI Chatbot
Author	Simos Mikelatos
Published	15 Mar 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/14070/14070.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

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.

Download workflow JSON Original n8n.io source Engineering workflows AI Chatbot workflows

Frequently asked questions

What does Turn new Jira tickets into CloudCLI AI coding sessions with Claude Code do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

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 Engineering, AI Chatbot use case.

Simos Mikelatos

2 workflows

Nodes

n8n-nodes-base.stickynote n8n-nodes-base.jiratrigger n8n-nodes-base.set @cloudcli-ai/n8n-nodes-cloud-cli.cloudcli n8n-nodes-base.jira

Complexity

intermediate

Published 15 Mar 2026

Likes 0

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Install path: /data/workflows/14070/14070.json

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Turn new Jira tickets into CloudCLI AI coding sessions with Claude Code

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

How it works

Set up steps

Requirements

How to customize

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Sticky Note - Overview

Block 2 - Sticky Note - Step 1

Block 3 - Sticky Note - Step 2

Block 4 - Sticky Note - Step 3

Block 5 - Sticky Note - Step 4

Block 6 - Sticky Note - Community Node

Block 7 - New Jira Issue Created

Block 8 - Extract Ticket Details

Block 9 - Compose Agent Prompt

Block 10 - Get Environment Details

Block 11 - Run AI Coding Agent

Block 12 - Extract Agent Result

Block 13 - Post Results to Jira

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions