Wix Engineering Podcast PI Media

Most developers work on large code repositories--files with thousands upon thousands of lines of code which reference, call and stack on top of one another to create a crazy complex final product.

But you can also break a codebase into small, component parts that can be addressed individually, rearranged and swapped in and out as you’d like. We call this “modular.” Is it the best way to code your software?

It took time for Kent Dodds to not just build a following, but to develop a voice -- a unique perspective that people wanted to hear in the dev community. How did he do it? And how can you become the kind of person that other developers want to listen to?

Over 600 changes are being pushed daily to Wix's codebase. How can we make sure that Wix still feels like Wix while maintaining our development velocity? The answer is “Design Systems”. Listen to Asaf Yonay and Liron Cohen explain more on organizing order out of chaos.

Every company, and everyone, uses the cloud. We use it because it’s easy, fast and cost effective. But, a lot of the time, we use it in a sub-optimal way. We could be doing better. Listen to Dvir Mizrahi tell the story of FinOps - developing a smarter and better financial engineering culture.

When Wix needed a company-wide toolkit, the front-end infrastructure team decided to build it openly, letting developers around the company participate in its development, similar to the way the open source works. Hundreds took up the task. Was it chaos, or a new and better way of developing software? Listen to the full story with Ran Yitzhaki.

All data science projects are composed of the algorithm (model) and the data. While data scientists are natively focused on math and models, experience is showing them that for a data science project to succeed in real life, much more than a deep understanding of math is needed.
Gilad and Noa will take us through the journey their team went on in transforming from working with a model-centric to a data-centric approach.

In this episode of the Wix Engineering Podcast: how a data science team upgraded their AI by refocusing, changing their priorities, and creating a new workflow focusing on data.