Top software development trends in 2016

With over 50,000 customer companies, Atlassian is in a unique position to spot software development trends by tapping into our best resource: our customers. We surveyed more 1,300 customers and turned our findings into an interactive resource you can use to see how your team stacks up against your peers. Here are some highlights and insights we pulled out of the raw data.

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Recently I had the chance to meet the team over at CloudCannon and discuss how they develop their application using Bitbucket and Docker. They've faced challenges many other small teams are dealing with in setting up a solid continuous delivery model and ensuring the code released is of the highest quality possible. But thanks to the bitHound Bitbucket add-on and their own custom Bitbucket extension, they were able to create a Git workflow that's a perfect fit.

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How often has this happened to you: you see an error message and you're not sure which part of the code it came from, or you know the function name but you don't know what repo contains the code for it. "Ghaah!" Many of you've been asking for a way to search through your code in Bitbucket Server, and I'm pleased to tell you that the wait is over. Today, we're inviting our customers to take a first look at code search in Bitbucket Server via our early access program (EAP). Now you can search

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Developing as a team can be messy. You’re trying to understand which pieces of code everyone is working on, trying to make sure changes don’t conflict, trying to find defects before your customers do, and trying to keep everyone connected with the project up to date on how things are progressing. As it turns out, each of those problems is addressed by either Git branching or continuous delivery.

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It’s a known issue that Git doesn’t play nicely with large files, and it’s not just developers who struggle with large files and version control. Native Git's limitations make it challenging for team members like designers, tech writes, sys admins, and build engineers to work closely with developers. That’s why we decided to collaborate with GitHub on building a standard for large file support. Here's what's happened since.

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Are you on one of those teams that finds all kinds of ways to stretch the limits of its development tools? If you're at a big company, working on big projects stored in big repositories – possibly repos that are shared with teammates across multiple continents – the answer is probably "yes". Using Git at massive scale can be so inefficient that it poisons your team's productivity. So I want to bring you up to speed on the antidote we've developed. It's called smart mirroring, and it's now available in Bitbucket Data Center.

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