# Messages to create or check
    new_translation_message = f"Good news everyone! 😉 There's a new translation PR to be reviewed: #{pr.number} by @{pr.user.login}. 🎉 This requires 2 approvals from native speakers to be merged. 🤓"
    done_translation_message = f"~There's a new translation PR to be reviewed: #{pr.number} by @{pr.user.login}~ Good job! This is done. 🍰☕"

    # Normally only one language, but still
    for lang in langs:

    reviews = list(pr.get_reviews())
    review_by_user: dict[str, PullRequestReview] = {}
    for review in reviews:
        if review.user.login in review_by_user:
            stored_review = review_by_user[review.user.login]
            if review.submitted_at >= stored_review.submitted_at:
                review_by_user[review.user.login] = review
        else:

name: 'Auto Assign PR to Author'
on:
  pull_request:
    types: [opened]

permissions: {}

jobs:
  add-reviews:
    permissions:
      contents: read  # for kentaro-m/auto-assign-action to fetch config file
      pull-requests: write  # for kentaro-m/auto-assign-action to assign PR reviewers
    runs-on: ubuntu-latest
    steps:

There are hundreds of other contributors, you can see them all in the [FastAPI GitHub Contributors page](https://github.com/fastapi/fastapi/graphs/contributors). 👷

## Top Translation Reviewers

These users are the **Top Translation Reviewers**. 🕵️

Translation reviewers have the [**power to approve translations**](contributing.md#translations) of the documentation. Without them, there wouldn't be documentation in several other languages.

            if label.name == "lang-all":
                is_lang = True
                break
        for review in pr.reviews.nodes:
            if review.author:
                authors[review.author.login] = review.author
                if is_lang:
                    translation_reviewers[review.author.login] += 1
        if pr.state == "MERGED" and pr.author:
            if is_lang:

    attributes:
      value: |
        Translations are automatized with AI and then reviewed by native speakers. 🤖 🙋

        This allows us to keep them consistent and up-to-date.

        If there are several native speakers commenting on this discussion and
        committing to help review new translations, the FastAPI team will review it

* They are rarely updated after creation and initial review, and then become hard to follow, especially after important decisions are made
* They are not synced with the code to reflect the eventual solution that is committed
* Google Docs is not a "code-oriented" tool, like Markdown can be
* Review in Google Docs is not as simple as a PR code review in GitHub

## Decision

* During code reviews that introduce new APIs, reviewers need to be mindful that all new properties are implemented with lazy types.

* **Embrace modern AI coding practices**: Leave everything up to an LLM to decide. The model knows best. Always.
* **No code reviews**: There's no code to review. No PRs to approve. No comments to address. Embrace vibe coding fully, replace the theater of approving and merging vibe coded PRs that no one looks at with full proper vibes only.

/// tip

* Add the specific language label.
* Add the label `awaiting-review`.

The label `awaiting-review` is special, only used for translations. A GitHub Action will detect it, then it will read the language label, and it will update the GitHub Discussions managing the translations for that language to notify people that there's a new translation to review.