Fix a GitHub issue

Turn a well-scoped GitHub issue into a verified pull request without coordinating every step by hand. SuperPlane listens for work in your repository, evaluates which issues are suitable for an agent, runs the implementation workflow, verifies the result and asks your team for judgment when needed.

SuperPlane surrounds the coding agent with intake, verification and human review.

The challenge

A GitHub issue may look simple, but finishing it usually involves much more than writing code. An engineer still needs to:

1. Understand the issue and its context.
2. Decide whether it is safe to delegate.
3. Inspect the repository.
4. Plan the change.
5. Implement it.
6. Run tests and continuous integration checks.
7. Create a pull request.
8. Respond to failed checks or review comments.
9. Decide whether the result is ready to merge.

Coding agents can help with individual steps. Engineers often still coordinate the process around them. A software factory turns that process into a visible and repeatable workflow.

How SuperPlane fixes a GitHub issue

1. The issue enters the backlog

Once your repository is connected SuperPlane can listen for GitHub issues and bring them into the factory Backlog. The GitHub issue remains the source of the work. SuperPlane adds the execution process around it.

Connected GitHub issues appear in Backlog with a confidence indicator and a clear action to start the work.

2. SuperPlane analyzes the work

Before an agent starts coding SuperPlane evaluates whether the issue is a good candidate for automated execution. The assessment considers:

• How focused the scope is
• How much context is available
• Whether the expected result can be checked
• Whether relevant tests are available

Focused work can move forward with higher confidence. Ambiguous work or work that needs judgment stays with the team.

The YouTube logo issue has a high confidence indicator, so it can move into implementation without a manual approval step.

3. The implementation agent works on the issue

When the task starts it moves into Implement. The configured agent receives the task and works against the repository.

Read issueInspect repositoryPlan the changeModify codeRun testsPush changesPrepare pull request

The exact implementation process depends on how you configure the agent.

The implementation automation runs the agent, records failures and attaches the resulting artifacts to the task.

The automation controls the process. It owns rules such as required checks, review policies, allowed scope and escalation behavior. The model focuses on the assigned engineering work.

AgentPerforms the engineering work.

AutomationControls how the work moves.

4. Verify the pull request

Once implementation produces a pull request SuperPlane moves the task into Verify. This stage checks whether the result is ready for review. Depending on your factory it can include:

• Continuous integration status checks
• Tests
• Pull request review comments
• Agent review
• Deterministic validation
• Human approval

Verify keeps the pull request and its outstanding checks visible before the work reaches Done.

If a check fails or a reviewer requests a change the workflow can return that context to the agent for another attempt. Human judgment remains available for decisions the factory should not make on its own.

Next steps

Try it with your issueConnect a repository and build the factory that will process your GitHub issue.Make small code improvementsUse the same factory pattern for focused cleanup and narrow refactors.