Hey Bugs! Catch up with the June edition of the Bugout community newsletter where we feature active Bugout members, interesting projects our community members are working on and Bugout news.
Bugs of the Month
We are featuring active Bugout community members
Artem Ponomarev is a DevOps Engineer at Microsoft. He solves problems and welcomes challenges. He mostly works with Azure pipelines and is constantly learning new things.
Artem’s original education is in theoretical physics. While he’s not currently active in the field, he occasionally peruses his books on theoretical physics.
Connect with Artem in the Bugout Slack community if you would like to discuss physics, how to create intelligent machines and Eastern philosophy, among other topics.
Bugout Highlights
We kicked off a series of live coding streams: ‘Training machine learning models to de-identify sensitive user data. We show the full process from collecting stack traces of GitHub issues that we use for Bugout’s issue reporting functionality to training models to deploying them into production where sensitive user data is masked.
Check out streaming videos on the Bugout YouTube channel and collected dataset of the Python stack traces extracted from more than 2,000,000 GitHub issues on Kaggle.
Sophia, co-founder of Bugout.dev, shared in her article how her pretty traumatizing ballet past influenced her and motivated her to create the Bugout community. You can read the full article here.
Projects of the Month
Every month we share projects that Bugout community members are working on. If you want your project to be featured here, share it at the #share_your_project channel at Bugout Slack.
This month, we are featuring Catalyst — a high-level PyTorch framework for Deep Learning Research and Development. The project’s author, Sergei Kolesnikov, writes in his Medium blog post, ‘Catalyst focuses on reproducibility, rapid experimentation, and codebase reuse so you can create something new rather than write yet another train loop.’ Check out the full article here.