Turn an open GitHub issue into a PR with a background agent
A developer pointed a Cursor background agent at an open issue in a Terraform repo; it opened a PR in about 3 minutes, though the PR description and title needed fixing. Task: Suggested implementation: Disable Cursor privacy mode to enable background agents. Configure a background-agent machine for a Terraform repository, using Cursor's interface to verify linters and resolve Python environment issues. Point the agent at a specific GitHub issue (e.g., #33) to generate a Pull Request. The human role involves initial setup, environment validation, and post-generation review of the PR.; tools: Cursor. Human role: The original post does not say how a person stayed involved.; limitations: Background agents currently rely exclusively on MAX models, resulting in a test cost of $4.63 for a single simple PR. Users must configure usage-based spending limits to control costs. The source is a secondary report with a 403 error on the original link, so reliability is unverified. Manual intervention is required for PR formatting and description completeness..
Tools
Published on Agent Work Atlas:
Overview
A developer pointed a Cursor background agent at an open issue in a Terraform repo; it opened a PR in about 3 minutes, though the PR description and title needed fixing.
Workflow
Suggested implementation: Disable Cursor privacy mode to enable background agents. Configure a background-agent machine for a Terraform repository, using Cursor's interface to verify linters and resolve Python environment issues. Point the agent at a specific GitHub issue (e.g., #33) to generate a Pull Request. The human role involves initial setup, environment validation, and post-generation review of the PR.
Reported result
The agent reportedly completed the task in approximately 3 minutes with solid code changes. However, the generated PR description was incomplete, and the title did not follow the required release-please format, necessitating manual correction before merging. No further metrics on success rate or long-term stability are available.
Human role
The original post does not say how a person stayed involved.
Limitations
Background agents currently rely exclusively on MAX models, resulting in a test cost of $4.63 for a single simple PR. Users must configure usage-based spending limits to control costs. The source is a secondary report with a 403 error on the original link, so reliability is unverified. Manual intervention is required for PR formatting and description completeness.
Try it
Act as a DevOps engineer using Cursor. I need to automate a PR for a small Terraform AWS ECR repository. First, ensure Cursor privacy mode is off. Set up a background agent machine and verify that linters and Python environments are correctly configured. I will provide the GitHub issue number [replaceable input: issue #]. Point the agent to this issue to generate a PR. After generation, manually review the PR title to ensure it follows the 'release-please' format and complete the description if missing. Measure the time taken for PR creation and the total API cost. Do not merge the PR without my explicit confirmation. If the agent fails to start, check the privacy mode settings and environment logs. Start with a dry run on a test branch before applying to the main workflow.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.