Operations | Monitoring | ITSM | DevOps | Cloud

We’re excited to announce that immutable tags are now available for the Bitbucket Packages container registry. With immutable tags, workspace admins can set container image tags from being overwritten, moved, or modified after they’re first pushed.

In December, we shared our plans to introduce pricing for self-hosted runners. You told us loud and clear that a free option matters. Today, as Premium Runners become generally available, we are happy to share that we will continue to have a free tier, which includes the use of up to 100 self-hosted runners as part of your plan. If your team needs more scale, dedicated support, or advanced management features, you can upgrade to Premium Runners when you’re ready.

Last month, we introduced Agentic Pipelines, a new way to orchestrate AI agents to automatically, and routinely, handle the repetitive engineering chores so you can get back to solving the fun, cool problems. When we launched, Agentic Pipelines supported Atlassian’s developer AI agent, Rovo Dev. Today, we’re opening up Agentic Pipelines to even more teams: You can now run agentic steps in your pipeline with Claude as the provider.

At Atlassian, we use Merge Queues to ship frequent changes with confidence and streamline pull request merges. Across some of our busiest codebases, Merge Queues have sharply reduced incident frequency and turned merging from a stressful bottleneck into a background task. Today, most of our largest repositories rely on Merge Queues—over 70 large repos across products like Jira, Rovo, Trello, and others—having safely landed 30,000 pull requests since adopting Merge Queues Beta last quarter.

Your CI/CD pipeline doesn’t have to live in a YAML file anymore. With on-demand pipelines, you can generate pipeline definitions programmatically, from scripts, services, or automation tools – and execute them instantly via the Pipelines API. No commit. No pull request. No static configuration to modify. Just build the YAML your situation demands and run it.

As part of an initiative to increase the flexibility and power of child pipelines, we are happy to announce that Bitbucket Pipelines will now allow you to share artifacts between parent and child pipelines. This feature extends the use-cases for child pipelines, allowing a greater degree of coordination between parent and child and the use of child-pipelines as modular pieces of processing for larger operations with artifacts. Here’s how it works.

Teams are shipping more code, faster than ever, as they increasingly automate their processes with CI/CD and AI. But high-velocity pull-request workflows and large monorepos, where many PRs are merged continuously, are feeling the pain as they grow: pull requests race to merge before the branch changes again, “green” builds still break due to semantic merge conflicts, and developers are stuck babysitting merges instead of building features.

Bitbucket Pipelines has always been an engine for automating more than just CI/CD, but today, Pipelines takes a first step towards a full agentic automation platform for all the manual, tedious, repetitive work that happens before and after code creation. You’ve probably seen the stat: Development teams spend 84% of their day doing things other than building features. A lot of this work is: This work matters, but it’s not very fun.

Why did your build fail? Ask Rovo, get a clear answer, and even a way to fix it, from anywhere in Bitbucket Pipeline debugging is one of the most common and most painful parts of the development workflow. In our Atlassian research: AI adoption is rising, but friction persists, over 50% of developers reported losing more than 10 hours each week searching for information, onboarding to new code, or toggling between apps.

The Atlassian Rovo Model Context Protocol MCP Server now supports Bitbucket Cloud. AI clients like Claude, ChatGPT, Cursor, and VS Code can now browse repositories, create commits, open pull requests, and check pipeline results, all through the same secure MCP connection that already works with Jira and Confluence.