Assign a GitHub ticket to an agent and recover a tested pull request

What was done

The GitHub blog (June 2025) describes how it works: the agent starts as soon as he is assigned a way out, works asynchronously in an environment based on GitHub Actions, pushes his commits in a draft sweater and asks for a review once finished. We can comment to make him correct. GitHub presents it as adapted to well-defined tasks: corrections, technical debt, tests.

Before you start

Tool cited by the source: GitHub Copilot. Gather the information the prompt asks for. Strip confidential data that is not needed and check your tool’s access terms. Features and plans can change.

The method, in three steps.

1. 01

   Gather the context

   Gather the information described in the prompt.

2. 02

   Adapt the prompt

   Copy the prompt below, replace the bracketed items, then paste it into GitHub Copilot.

3. 03

   Reread before using

   Reread the result, correct it if needed and keep the final decision. Caveats are detailed below.

Your starting point.

Replace the bracketed items, then adapt the proposal to your situation. This prompt is written by the iadujour desk It is not a quotation from the source.

Writes a GitHub exit ready to be assigned to a code agent.

Problem:
Technical background:

Format: clear title; 3-line context; expected behavior; Cochable acceptance criteria; files likely affected; what should not be touched; command to run the tests.
If the task is too big for a single PR, cut it into 2 or 3 exits.

What deserves your attention

Useful skills

Official skills on the same task, paired by the desk: they are not part of the described case.

• Link a GitHub and Linear ticket to a PRSentry · Adds to the current PR description a Sentry-style `#### Issues` block, with the GitHub exit link and the Linear ticket automatically solved from the Linear link comment of the issue.
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• Turn raw notes into structured GitHub ticketMicrosoft · Converts raw notes, error logs, voice dictation or screenshots into a GitHub ticket, written in precise Markdown GitHub.
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