Rocky path to open source

You decided to go open source, chose a license, gave up internal dependencies, and committed the code to GitHub. Is that enough? Well, yes and no. Your code is now open source, but there are other issues: external and internal contributors, organizing their collaboration, internationalizing interfaces and documentation, testing in external and internal loops. And this is only the beginning of the journey.

Andrey will share his experience and highlight the issues and challenges he faced while releasing the DataLens code as open source and moving the development to a public GitHub repository.