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CI workflow (Russell-cell/PPT-Design-Prompt)

The CI workflow from Russell-cell/PPT-Design-Prompt, explained and optimized by Latchkey.

D

CI health: D - needs work

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Source: Russell-cell/PPT-Design-Prompt.github/workflows/ci.ymlLicense MITView source

What it does

This is the CI workflow from the Russell-cell/PPT-Design-Prompt 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

workflow (.yml)
name: CI

on:
  push:
  pull_request:

jobs:
  test:
    runs-on: ubuntu-latest

    steps:
      - name: Check out repository
        uses: actions/checkout@v4

      - name: Set up Python
        uses: actions/setup-python@v5
        with:
          python-version: "3.11"

      - name: Install package
        run: |
          python -m pip install --upgrade pip
          python -m pip install -e .

      - name: Run unit tests
        run: python -m unittest discover -s tests -v

      - name: Smoke test CLI
        run: |
          design-md-ppt convert \
            --source-root ./examples/minimal/source \
            --output-root ./tmp-ci-output \
            --manifest ./tmp-ci-manifest.json \
            --brands-file ./examples/minimal/brands.txt

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:
  pull_request:
 
concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true
 
jobs:
  test:
    timeout-minutes: 30
    runs-on: latchkey-small
 
    steps:
      - name: Check out repository
        uses: actions/checkout@v4
 
      - name: Set up Python
        uses: actions/setup-python@v5
        with:
          cache: 'pip'
          python-version: "3.11"
 
      - name: Install package
        run: |
          python -m pip install --upgrade pip
          python -m pip install -e .
 
      - name: Run unit tests
        run: python -m unittest discover -s tests -v
 
      - name: Smoke test CLI
        run: |
          design-md-ppt convert \
            --source-root ./examples/minimal/source \
            --output-root ./tmp-ci-output \
            --manifest ./tmp-ci-manifest.json \
            --brands-file ./examples/minimal/brands.txt
 

What changed

What Latchkey heals here

This workflow has steps that commonly fail on transient issues (network, registries, flaky browsers). On Latchkey managed runners they are detected, retried, and self-healed instead of failing your build:

This workflow runs 1 job per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.

Actions used in this workflow