livecodes workflow (Ripple-TS/ripple)
The livecodes workflow from Ripple-TS/ripple, explained and optimized by Latchkey.
CI health: B - good
Point runs-on at Latchkey and get job timeouts, SHA-pinned actions, self-healing for flaky steps, and up to 58% lower cost, applied automatically.
What it does
This is the livecodes workflow from the Ripple-TS/ripple 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: livecodes
on:
workflow_run:
workflows: ["Publish to pkg.pr.new"]
types:
- completed
jobs:
build_and_prepare:
runs-on: ubuntu-latest
if: >
github.event.workflow_run.conclusion == 'success' &&
github.event.workflow_run.jobs[1].steps['Publish'].outcome == 'success'
name: Generate Playground
steps:
- name: Checkout
uses: actions/checkout@v6
- name: Build and generate
uses: live-codes/preview-in-livecodes@v1
The same workflow, on Latchkey
Removes redundant runs and caps runaway jobs. Added and changed lines are highlighted.
name: livecodes on: workflow_run: workflows: ["Publish to pkg.pr.new"] types: - completed jobs: build_and_prepare: timeout-minutes: 30 runs-on: latchkey-small if: > github.event.workflow_run.conclusion == 'success' && github.event.workflow_run.jobs[1].steps['Publish'].outcome == 'success' name: Generate Playground steps: - name: Checkout uses: actions/checkout@v6 - name: Build and generate uses: live-codes/preview-in-livecodes@v1
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. - 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 1 job per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.