How I automated my bug backlog with n8n and a coding agent API

Source: Dev.to

The solution

I built a workflow on top of OpenCode that processes tickets automatically:

1. Trigger – a new ticket in Linear (or Jira) with a specific label fires a webhook.
2. Orchestrator – n8n receives the webhook and calls the CodeCloud API.
3. Execution layer – CodeCloud spins up an AI coding agent, clones the repo, implements the fix, and opens a pull request.

The n8n workflow is literally two nodes: a trigger and an HTTP request.

What works well

Key insight: ticket quality determines output quality. This workflow forces the team to write better tickets, which is a side benefit even when the agent misses.

Prerequisites

• An n8n instance (cloud or self‑hosted).
• A CodeCloud account with GitHub connected.
• A Linear (or Jira) workspace.

Linear API key

Create an API key from Settings → API → Personal API keys.

CodeCloud Header Auth credential

Build the n8n workflow

Nodes

Request body (JSON)

{
  "repo": "your-org/your-repo",
  "prompt": "Please fix the bug or issue described in this ticket:\n{{ $json.data.title }}\n\n{{ $json.data.description }}",
  "model": "claude-sonnet-4-5",
  "provider": "anthropic",
  "auto_create_pr": true
}

The {{ $json.data.title }} and {{ $json.data.description }} expressions pull the ticket content from Linear’s webhook payload.

Filtering tickets

Add an IF node between the trigger and the HTTP request:

Condition: {{ $json.data.labelIds }} contains YOUR_AUTO_PR_LABEL_ID

Only tickets explicitly tagged for automation will be processed.

Importable workflow JSON

You can import the following JSON directly in n8n via Workflows → Import from File:

{
  "name": "Linear to CodeCloud PR",
  "nodes": [
    {
      "parameters": {
        "resource": "issue",
        "teamId": "{{ YOUR_TEAM_ID }}"
      },
      "id": "linear-trigger",
      "name": "Linear Trigger",
      "type": "n8n-nodes-base.linearTrigger",
      "typeVersion": 1,
      "position": [240, 300]
    },
    {
      "parameters": {
        "method": "POST",
        "url": "https://codecloud.dev/api/v1/agents",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "={\n  \"repo\": \"your-org/your-repo\",\n  \"prompt\": \"Please fix the bug or issue described in this ticket: \\n {{ $json.data.title }}\\n\\n{{ $json.data.description }}\",\n  \"model\": \"claude-sonnet-4-5\",\n  \"provider\": \"anthropic\",\n  \"auto_create_pr\": true\n}"
      },
      "id": "http-request",
      "name": "Create CodeCloud Run",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.2,
      "position": [480, 300]
    }
  ],
  "connections": {
    "Linear Trigger": {
      "main": [[{ "node": "Create CodeCloud Run", "type": "main", "index": 0 }]]
    }
  }
}

Replace YOUR_TEAM_ID and your-org/your-repo, then attach the Header Auth credential you created earlier.

Using Jira instead of Linear

Replace the Linear Trigger with a Jira Trigger (event: issue_created). Adjust the request body to match Jira’s payload:

{
  "repo": "your-org/your-repo",
  "prompt": "{{ $json.issue.fields.summary }}\n\n{{ $json.issue.fields.description }}",
  "model": "claude-sonnet-4-5",
  "auto_create_pr": true
}

Useful API parameters

Tips & considerations

• The workflow may produce imperfect PRs; treat them as drafts that a developer can quickly polish.
• Failed attempts often surface ambiguous ticket details or edge cases, prompting better documentation.
• Start by creating an auto‑PR label in Linear, tag a few well‑described bugs, activate the workflow, and observe the results.

Next steps

CodeCloud is an API for running AI coding agents. If you have questions or want to share what you’ve built, feel free to comment or check out the official documentation.