BLEND Localization

Why are product managers still context-switching out of code repositories just to manage a localization file?

If you are a dev or a product manager, translation doesn't have to be an additional step blocking you from deployment.

It can be an invisible background utility, functioning exactly like a database or a CI/CD pipeline.

When teams rely on traditional, manual workflows to localize, they're faced with common architectural bottlenecks: waiting for string exports, manually copy-pasting JSON files, and managing merge conflicts on localization branches wastes engineering sprint capacity.

Instead of treating localization as a separate, human-managed phase at the end of a sprint, software-native teams are plugging custom AI translation engines directly into their codebase via APIs.

1. Your team writes code and pushes it to your repository.

2. The custom translation suite automatically pulls the new strings.

3. The AI localizes the content in accordance with your pre-set parameters.

4. The localized code is verified and pushed to production automatically.

Now that's automatic, supersonic, hypnotic, funkyfresh (🎤 *drop*)

If you're looking to plug in a custom AI translation engine into your product, reach out to our team. You won't regret it.

🎶 It's gonna be May 🎶

Make sure you're ready for the cultural events and holidays coming up in Justin Timberlake's favorite month - May!

Check out the full calendar lineup of holidays: https://hubs.la/Q04d9VBF0