CI workflow (ArtificialAnalysis/Stirrup)
The CI workflow from ArtificialAnalysis/Stirrup, explained and optimized by Latchkey.
CI health: F - at risk
Point runs-on at Latchkey and get caching, run de-duplication, job timeouts, SHA-pinned actions, self-healing for flaky steps, and up to 58% lower cost, applied automatically.
What it does
This is the CI workflow from the ArtificialAnalysis/Stirrup repository, a real project running GitHub Actions. It is shown here with attribution under its MIT license.
Below, Latchkey shows a faster, safer version produced by its optimization engine.
The workflow
name: CI
on:
push:
branches:
- main
pull_request:
branches:
- main
workflow_call:
jobs:
lint:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v5
- name: "Set up Python"
uses: actions/setup-python@v6
with:
python-version-file: ".python-version"
- name: Install uv
uses: astral-sh/setup-uv@v6
with:
enable-cache: true
- name: Sync dependencies
run: uv sync --locked --all-extras --dev
- name: Run ruff format check
run: uv run ruff format --check .
- name: Run ruff check
run: uv run ruff check --output-format=github .
type-check:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v5
- name: "Set up Python"
uses: actions/setup-python@v6
with:
python-version-file: ".python-version"
- name: Install uv
uses: astral-sh/setup-uv@v6
with:
enable-cache: true
- name: Sync dependencies
run: uv sync --locked --all-extras --dev
- name: Run type checking
run: uv run ty check --output-format github
The same workflow, on Latchkey
Estimated ~20% faster on cache hits, plus fewer wasted runs and a safer supply chain. Added and changed lines are highlighted.
name: CI on: push: branches: - main pull_request: branches: - main workflow_call: concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: lint: timeout-minutes: 30 runs-on: latchkey-small steps: - uses: actions/checkout@v5 - name: "Set up Python" uses: actions/setup-python@v6 with: cache: 'pip' python-version-file: ".python-version" - name: Install uv uses: astral-sh/setup-uv@v6 with: enable-cache: true - name: Sync dependencies run: uv sync --locked --all-extras --dev - name: Run ruff format check run: uv run ruff format --check . - name: Run ruff check run: uv run ruff check --output-format=github . type-check: timeout-minutes: 30 runs-on: latchkey-small steps: - uses: actions/checkout@v5 - name: "Set up Python" uses: actions/setup-python@v6 with: cache: 'pip' python-version-file: ".python-version" - name: Install uv uses: astral-sh/setup-uv@v6 with: enable-cache: true - name: Sync dependencies run: uv sync --locked --all-extras --dev - name: Run type checking run: uv run ty check --output-format github
What changed
- Run on Latchkey managed runners with one line (
runs-on), which apply the fixes below automatically and self-heal transient failures. This example useslatchkey-small; pick the runner size that fits the job. - Cancel superseded runs when a branch or PR gets a newer push.
- Cache dependency installs on the setup step so they are served from cache.
- Add a job timeout so a hung step cannot burn hours of runner time.
1 third-party action is referenced by a movable tag. Pin it to the commit SHA (Latchkey resolves and applies this automatically) so a repointed tag cannot change what runs.
This workflow runs 2 jobs per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.