Building Resilient, Modular Automations: Our Coding Playbook

Why Robustness Comes First
Non-coders (like Chris) can’t be tinkering under the hood when things break. Our top priority is a script that simply doesn’t crash. Clear error trapping and simple fallbacks make debugging fast, so we spend time on features, not chasing typos or hidden edge cases.

Modular by Design

  • Self-Contained Modules: Each logical operation—“read DOCX,” “publish to WordPress,” “clean up drafts”—lives in its own file or function.
  • Clear Boundaries: A module’s name, its inputs and outputs, and a one-line summary live at the top of every file.
  • Discoverability: A small “map” or index.js outlines how modules connect, so you never have to hunt for code.

Hot-Swappable Components
When we improve or rewrite functionality, we don’t monkey-patch three lines inside a big file. We build a new module-v2.js that implements the same interface, drop it in, and switch the import/export. If something doesn’t work, rolling back is as simple as pointing back to module-v1.js.

One Feature, One Sprint
We break work into the smallest meaningful units:

  1. Define the feature’s public API and desired behavior.
  2. Implement it in a standalone module.
  3. Test it in isolation (unit test or manual smoke test).
  4. Integrate it into the main flow.
  5. Iterate with small tweaks if necessary.

Continuous Documentation
Every time we add or swap a module, we update its header comment and our project README. This keeps onboarding Chris—or any future collaborator—as frictionless as our code.


By following these principles—robust error handling, modular boundaries, hot swapping, single-feature focus, and up-to-date docs—we build automations that keep running in the background, letting us focus on what really matters: moving projects forward.

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