Uladzislava Kastsitsyna [Stiltsoft] Atlassian Partner

Hi Community, Admins and engineering managers often ask us how to see what’s happening across all Bitbucket repositories at once, without scripting the REST API or collecting data project by project. The latest release of Awesome Graphs for Bitbucket Data Center brings you Global Graphs for exactly that. The Activity,…

Hi everyone, Data filters in Awesome Graphs for Bitbucket Data Center just got an upgrade! 👀 With the new Working Days and Hours Configuration, you can now limit analytics to specific weekdays and activity hours across Graphs, Reports, the People page, and the REST API. This improvement will help you have even more control…

Hi everyone, We are excited to share a new feature in Awesome Graphs for Bitbucket Data Center — Permissions Configuration. System Admins can now restrict access to specific Awesome Graphs features (Graphs, Reports, People, Cycle Time, Contributions, and REST API) by selecting individual users or groups. Features are…

We’re excited to share that Awesome Graphs for Bitbucket Cloud has just expanded its REST API with a set of Commits API endpoints! These endpoints make it easier than ever to extract, analyze, and integrate commit data from your Bitbucket - opening the door to deeper reporting, automation, and custom analytics. The new…

Understanding who and how contributes to your Bitbucket projects is instrumental in managing workloads and improving the productivity of engineering teams. This is why we prepared an article that walks you through visualizing activities within your Bitbucket Cloud projects with Awesome Graphs. How do you currently measure…

Hello everyone, I am here to share some exciting news: Awesome Graphs for Bitbucket just launched a brand new REST API in Cloud 🥳 New endpoints make getting pull request insights truly a breeze: * retrieve pull request data and statistics on workspace, repository, and user levels; * tailor your request with various query…

Whether you're focused on reducing cycle time, spotting review bottlenecks, or simply gaining more visibility into PRs, tracking the right code review metrics can be a game-changer. In our new guide, we walk through code review metrics available in Bitbucket Data Center with out-of-the-box reports and REST API endpoints in…

Hi community, How do you approach optimizing the code review process in Bitbucket? I’d like to hear your tips on ensuring that PR authors receive timely, high-quality feedback. If you are currently researching this topic as well, my colleagues at the Awesome Graphs team put together an article on tracking pull request…

A data-driven approach is key to eliminating bottlenecks and improving delivery time. But every team has its own focus metrics for engineering, so we at Awesome Graphs are curious: which ones do you track? If you are still looking for ideas, our team has prepared an article that explores how to gain visibility into…

Hi, community! It is no secret that understanding developer activity is key to improving efficiency in the team. Here at Awesome Graphs, we are curious: do you track any engineering metrics? What metrics do you find the most useful? Are there specific reports you rely on? Let’s discuss in the comments! If you are currently…

Engineering metrics like cycle time or the number of commits tell us what’s happening, but they don’t always reflect the real developer experience behind the numbers. A team might deliver more pull requests, but does that mean the process is efficient? Or are there hidden challenges that don’t show up in the data but still…

Viewing merged pull requests of a developer can be useful in many scenarios. For some teams a merged PR is a measure of added business value, for others, it is a tool for informing 1-on-1 discussions with employees. So whether you would like to review your own work or prepare for a meeting with your reportee, in this…

Hi community, I'm Vlada from the Awesome Graphs for Bitbucket team 👋 I am looking to connect with experts in Engineering Management who are passionate about code quality as we at Awesome Graphs are currently researching how different teams and leaders approach measuring code quality and what metrics matter the most. Are…

In software development, cycle time usually refers to the time from when a developer starts working on a task to when it is delivered. So, in Bitbucket, it can be measured as the time from the first commit until the pull request is resolved (merged or declined). Unlike Jira, which has an in-built functionality called The…

Buying a license for SonarQube requires knowing how many lines of code you have in all projects and repositories, as the price of the Commercial Editions (Developer, Enterprise, and Data Center) depends on this number. Luckily, some tools like Awesome Graphs for Bitbucket can help with this task. In this post, I’ll share…

By tracking and analyzing pull request statistics, engineering managers and their teams can gain valuable insights into their development workflow, code quality, collaboration efficiency, and performance. This article will explore what metrics to measure and why and how to find them in Bitbucket. Pull Request Metrics to…

Happy Apptoberfest to the Atlassian Community! It's that time of year again, and we're excited to participate in Apptoberfest 2023 alongside our seasoned app, Awesome Graphs for Bitbucket! Thinking about Oktoberfest, the first thing that typically comes to mind is a stein filled with traditional German beer. However, this…

Software development is a complex process with many hidden activities, making it difficult for product leaders to measure developer performance and find a balance between traditional metrics and the evolving demands of the field. A recent survey about AI's impact on the developer experience reveals the difference between…

Looking for an easy way to search for commits in your Bitbucket? In this article, we’ll explore three practical ways to simplify work with commits: * using Sourcetree for a small number of repositories * leveraging Awesome Graphs for Bitbucket for wider search opportunities and deeper analytics * harnessing the Bitbucket…

Hi everyone! Recently I came across this research about AI’s impact on the developer experience. The survey was conducted among 500 US-based developers who work at companies with 1,000+ employees. What caught my attention is the top 5 metrics to measure developers' performance mentioned there. Here they are: * Code quality…

Hi! I would like to invite all members of the Atlassian community to a live webinar with the Awesome Graphs team to learn how to leverage Bitbucket analytics for team performance evaluation in the code review process. During this webinar, you will learn more about: * Main challenges of evaluating team performance in the…