Codeflash workflow (fabriziosalmi/proxmox-lxc-autoscale)

The Codeflash workflow from fabriziosalmi/proxmox-lxc-autoscale, explained and optimized by Latchkey.

What it does

This is the Codeflash workflow from the fabriziosalmi/proxmox-lxc-autoscale 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: Codeflash

on:
  pull_request:
    paths:
      # So that this workflow only runs when code within the target module is modified
      - 'lxc_autoscale/**'
  workflow_dispatch:

concurrency:
  # Any new push to the PR will cancel the previous run, so that only the latest code is optimized
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true


jobs:
  optimize:
    name: Optimize new Python code in this PR
    # Don't run codeflash on codeflash-ai[bot] commits, prevent duplicate optimizations
    if: ${{ github.actor != 'codeflash-ai[bot]' }}
    runs-on: ubuntu-latest
    env:
      CODEFLASH_API_KEY: ${{ secrets.CODEFLASH_API_KEY }}
      CODEFLASH_PR_NUMBER: ${{ github.event.number }}
    
    steps:
      - uses: actions/checkout@v4
        with:
          fetch-depth: 0
      - name: Set up Python
        uses: actions/setup-python@v5
        with:
          python-version: '3.12'
      - name: Install Project Dependencies
        run: |
          python -m pip install --upgrade pip
          pip install -r requirements.txt
          pip install codeflash
      - name: Run Codeflash to optimize code
        run: codeflash

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: Codeflash
 
on:
  pull_request:
    paths:
      # So that this workflow only runs when code within the target module is modified
      - 'lxc_autoscale/**'
  workflow_dispatch:
 
concurrency:
  # Any new push to the PR will cancel the previous run, so that only the latest code is optimized
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true
 
 
jobs:
  optimize:
    timeout-minutes: 30
    name: Optimize new Python code in this PR
    # Don't run codeflash on codeflash-ai[bot] commits, prevent duplicate optimizations
    if: ${{ github.actor != 'codeflash-ai[bot]' }}
    runs-on: latchkey-small
    env:
      CODEFLASH_API_KEY: ${{ secrets.CODEFLASH_API_KEY }}
      CODEFLASH_PR_NUMBER: ${{ github.event.number }}
    
    steps:
      - uses: actions/checkout@v4
        with:
          fetch-depth: 0
      - name: Set up Python
        uses: actions/setup-python@v5
        with:
          cache: 'pip'
          python-version: '3.12'
      - name: Install Project Dependencies
        run: |
          python -m pip install --upgrade pip
          pip install -r requirements.txt
          pip install codeflash
      - name: Run Codeflash to optimize code
        run: codeflash
 

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 uses latchkey-small; pick the runner size that fits the job.
• 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.

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:

• Dependency installs

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