Posted on October 8, 2025 by DForD Software
Continuous Integration and Continuous Deployment (CI/CD) have become standard practices in modern software development. These practices enable teams to ship code faster and more reliably. But what about localization? How can we ensure that our translations keep pace with our rapid development cycles? The answer lies in continuous localization, powered by the integration of Large Language Models (LLMs). This article explores how you can integrate LLMs into your CI/CD pipeline to create a truly continuous localization workflow.
The goal of continuous localization is to make the translation process a seamless and automated part of your development workflow. In an ideal world, a developer would write new code, and the user-facing strings would be automatically extracted, translated, and a pull request with the localized resource files would be created for review. This eliminates the need for manual handoffs and allows you to keep your translations in sync with your code at all times.
"Continuous localization is about making translation a non-event. It should just happen, automatically, as part of your normal development process."
To achieve this, you need to integrate an LLM-powered translation tool into your CI/CD pipeline. Here's how it works:
The benefits of a continuous localization workflow are numerous:
By integrating LLMs into your CI/CD pipeline, you can create a continuous localization workflow that is fast, efficient, and reliable. This will not only save you time and money, but it will also enable you to deliver a better experience to your users around the world. Tools like Quicki18n are designed to make this integration as easy as possible, so you can start reaping the benefits of continuous localization today.
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