Optimizing Multilaptop Workflow for Blogging | Generated by AI
Great question — with three laptops, you can actually separate tasks in a way that plays to their strengths and reduces context-switching. Since your blog project has many moving parts (Jekyll, AI workflows, LaTeX, TTS, automation), here’s a practical split:
Laptop 1: Core Blog Development & Styling
- Focus: Jekyll, theme customization, CSS/JS, MathJax integration, night mode.
- Why: This machine stays in “design + front-end mode,” where you experiment with layouts and user experience.
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Tasks:
- Local Jekyll server for quick previews
- CSS/JS refinements (night mode, enhanced styling, flexible post selection)
- Integration testing of navigation, category filters, RSS feed
Laptop 2: Content & AI Pipelines
- Focus: Translation, PDF/EPUB generation, text-to-speech.
- Why: These workflows often involve heavy processing, external APIs, or long build times — better to isolate them.
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Tasks:
- AI translation scripts (bilingual blog flow)
- XeLaTeX PDF and EPUB export pipelines
- Google Cloud TTS for audio versions
- Auto-translation GitHub Actions testing
Laptop 3: Automation, CI/CD & Infrastructure
- Focus: GitHub Actions, dependency updates, deployment.
- Why: Keeps infrastructure clean and reproducible while other laptops experiment.
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Tasks:
- Maintain GitHub Actions workflows (build, test, deploy)
- Manage automatic translation workflows
- Ensure libraries and dependencies stay current
- Integration with
awesome-cv(CV generation) - Monitor deploys to GitHub Pages or cloud hosting
Collaboration Strategy
- Use Git + GitHub branches for each laptop’s focus (e.g.,
frontend-dev,translation-pipeline,ci-cd). - Sync daily via PRs so work converges smoothly.
- Each laptop has a “domain,” but you can rotate responsibilities when needed.
👉 This way, you’re not just splitting laptops randomly — you’re reducing friction. One laptop is “UI and look,” another is “AI + content processing,” and the last is “automation and deployment.” That lets you run heavy builds, local servers, and CI/CD pipelines in parallel without stepping on each other.
Do you want me to sketch an example GitHub branch structure to make this workflow concrete?