Senior Ruby Engineer · Open-Source Author (ruby-libgd, libgd-gis) · FinTech & GIS
January 20, 2026
In modern development teams, Proofs of Concept (PoC) are everywhere.
They usually start as Jupyter notebooks: quick experiments, charts, metrics, comparisons, and visual insights. They work well for exploration — but too often, they stop there. The knowledge stays locked inside a notebook, on someone’s machine, disconnected from real systems.
This raises a familiar question:
How do we move insights born in notebooks into real, reproducible, production-grade workflows — without rewriting everything?
This is where Ruby as an orchestration language becomes surprisingly powerful.
PoC Is Not the End — It’s the Beginning
A PoC should not be a dead artifact. It should be the first node in a knowledge circulation system.
Yet in practice, many teams struggle with:
- notebooks that can’t be reproduced reliably
- parameters hard-coded in cells
- ad-hoc execution
- no clear integration with the main application stack
For Ruby teams, this is even more visible when:
- the core system is written in Ruby (Rails, jobs, services)
- but experimentation happens in Python notebooks
- and the two worlds never truly connect
👉 Read the full article
https://rubystacknews.com/2026/01/20/running-notebooks-the-ruby-way-from-poc-to-production-with-rubypymill/
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