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The latest News and Information on Continuous Integration and Development, and related technologies.

Introducing A new Bitbucket pull request experience

Here at Bitbucket Cloud, we are focused on helping you and your teams have the best possible experience for code review. That's why we continue to add features like batched comments, marking files as viewed, AI-assisted pull request descriptions – and coming very soon, iterative reviews. We also want to give you the best possible experience navigating a pull request, which is why we're proud to be introducing a brand-new layout for pull requests.

Bring more context to your code with Compass

Understanding and interacting with code repositories can be frustrating: you often don't get all of the information you need to get your work done efficiently and effectively. Who owns the repository? What are its dependencies? Where do I ask for help about interacting with it? This lack of context around code, and the time it takes to find it somewhere in the bowels of your organization, slows everything down.

Automate & orchestrate CI/CD at scale with Dynamic Pipelines in Bitbucket Cloud

In this video, Edmund Munday (Sr. Product Manager, Bitbucket Cloud) will introduce you to Dynamic Pipelines. Dynamic pipelines allow you to inject intelligence and flexibility into your CICD workflows, addressing the challenges of static YAML files. I will be showcasing an internal feature called Manage Builds that automates the entire process of creating CICD workflows, ensuring compliance with best practices & standardising CI/CD across a whole organisation - all whilst maintaining flexibility and autonomy for individual teams.

Securing Your Container Images Using the Codefresh OIDC Provider and Keyless Signing

Deploying software to your internal systems or sending releases to external customers is a process that ideally follows strong security requirements in an end-to-end manner. In a perfect world, every software release should come with at least the following guarantees In the world of CI/CD we are mostly interested in binary artifacts and how they were created all the way from the initial release up until they reach production.

Ensure your models flow with the JFrog plugin for MLflow

Just a few years back, developing AI/ML (Machine Learning) models was a secluded endeavor, primarily undertaken by small teams of developers and data scientists away from public scrutiny. However, with the surge in GenAI/LLMs, open-source models, and ML development tools, there’s been a significant democratization of model creation, with more developers and organizations engaging in ML model development than ever before.

Supporting Next-Level Enterprise Scale in Software Development

What it means to be “enterprise grade” has changed. In software development, the size of new artifacts and the pace of development has increased dramatically. Developers are now releasing new components daily, if not multiple times a day. With containerization, and now AI/ML models, new pieces of software can be multiple GBs or larger.