# How well does LingoHub handle GitHub-based localization workflows for smaller teams?

We use LingoHub to manage English and Amharic translations for client sites and campaign content, and it has helped keep everything organized in one place. The GitHub integration saves time by syncing new strings from code and sending completed translations back as pull requests, and translation memory plus the term base help keep key phrases consistent. The main challenges have been weaker machine translation quality for Amharic, a learning curve around workflows and settings, and some trial and error during initial GitHub setup. If you use LingoHub, how have you handled onboarding and MT quality for less common languages, and have you run into sync conflicts?

##### Post Metadata
- Posted at: 12 days ago
- Author title: Digital Marketing and SEO Specialist 
- Net upvotes: 1


## Comments
### Comment 1

For a small team, having translation management, collaboration, and localization in one clean interface has made GitHub-based workflows feel much more structured and less scattered across tools. I’ve also found the AI suggestions helpful for speeding up repetitive tasks and keeping wording consistent across languages. The main friction for me is that some advanced capabilities take time to understand, so I’d love a smoother onboarding flow and more room to explore those features before committing, especially given pricing constraints for smaller teams.

##### Comment Metadata
- Posted at: 11 days ago
- Author title: Frontend Developer at otiyans software solutions




## Related Product
[LingoHub](https://www.g2.com/products/lingohub/reviews)

## Related Category
[Computer-Assisted Translation](https://www.g2.com/categories/computer-assisted-translation)

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