Yin Liang_XDevPod Atlassian Partner

Discussions

    • MCP Server for Jira Data Center: Connect AI Agents to Your Own Jira

      AI agents are changing how teams work with Jira: searching issues, creating tickets, logging work, and moving tickets through workflows in natural language is becoming part of the daily routine. The standard protocol connecting agents to these capabilities is the Model Context Protocol (MCP), and Atlassian offers an…

    • How to Configure Jira Field Behaviours Without Writing a Single Line of Script

      If you have ever maintained ScriptRunner behaviours, Groovy validators, or custom JS listeners in Jira Cloud, you already know the problem. The script works on day one. Then someone adds a field. Then someone changes the workflow. Then a new issue type shows up in the same project. Six months later, nobody on the team…

    • How to gives AI agents governed access to Jira data

      The moment a team starts using AI agents with Jira, a design decision shows up quickly: Do we create a separate path for agents, or do we extend the same governed sharing model we already trust for people? I think the second approach is usually better. That is why we built the agent story in Secure Sharing for Jira around…

    • Why secure Jira sharing needs governance, not just a public link

      If your team works with customers, implementation partners, vendors, or audit stakeholders, you probably run into the same awkward question again and again: How do we share Jira information externally without opening up Jira itself? That is the exact problem Secure Sharing for Jira is built to solve. If you want the…

    • How to Set Up an AI Agent in Jira Data Center

      Jira Data Center teams want the same productivity gains that AI brings to cloud products, but without giving up control over infrastructure, configuration, or workflow discipline. That is exactly where an AI agent inside Jira Data Center becomes valuable. Instead of asking users to jump between chat tools, copy issue data…

    • Auto Behaviour: Designing Rules That Stay Maintainable

      Auto Behaviour does not become hard to use because the product lacks actions. It becomes hard to use when the rule model becomes difficult to understand. Everything ends up inside one large Auto Behaviour rule. Create and view logic are mixed together. Visibility, requiredness, value-setting, and actor checks all live in…

    • Auto Behaviour: Keeping Jira Cloud Field Behavior Predictable

      This article focuses on Auto Behaviour's Jira Cloud runtime model and implementation tradeoffs. If you want a concrete implementation reference while reading, Auto Behaviour is on the Atlassian Marketplace: Auto Behaviour can look straightforward in a demo until it reaches a real production environment. If `Priority =…

    • Why Jira Cloud field behavior is harder than it looks, and what teams actually need

      Disclosure: I work for the team behind Auto Behaviour. This article focuses on Jira Cloud field behavior design and implementation tradeoffs, not product marketing. If you want a concrete implementation reference while reading, Auto Behaviour is available on the Atlassian Marketplace. Most Jira admins are not really asking…

    • Integrate Artificial Intelligence (AI) to Confluence Data Center

      In 2023, Atlassian introduced the Intelligence feature, a significant advancement designed to enhance productivity and streamline workflows. This new functionality has been widely acclaimed for its ability to provide smarter, more efficient solutions to users. Nevertheless the Intelligence feature is available exclusively…

    • Powerful Mermaid Editor for Confluence

      Mermaid JS is a versatile tool that enables users to create diagrams and visualizations using a straightforward, text-based syntax. It is especially effective for generating various types of diagrams, including flowcharts, sequence diagrams, Gantt charts, and more, all directly from text. Confluence does not natively…

    • Transforming On-Premise (DC) Confluence into an AI-Powered Knowledge Hub with AI for Confluence

      Confluence is a powerful collaboration platform for creating, sharing, and organizing knowledge within an organization. However, navigating large Confluence instances can sometimes be challenging. Integrating artificial intelligence (AI) offers a solution by making knowledge discovery and interaction more intuitive and…

    • Draw Awesome Diagrams in Confluence via Excalidraw

      Excalidraw is a web-based tool designed for creating diagrams and sketches with a hand-drawn aesthetic. Its intuitive interface allows users to quickly and easily sketch ideas. Whether you're planning a project or developing a concept, Excalidraw offers a flexible and user-friendly platform to bring your ideas to life. How…

    • Integrate Artificial Intelligence (AI) to Jira Data Center

      Atlassian Intelligence, a suite of AI-powered features designed to enhance productivity and streamline workflows has been introduced in 2023. However, Atlassian Intelligence is only available for Cloud products，the Data Center products have not yet incorporated this functionality. We will introduce how to implement…

    • ScriptRunner: How to set Summary and customer field value when clone with Scriptrunner

      I would like to use the below script to clone issue Copy an Issue to a New Project and Link to the Original - Adaptavist Library Nevertheless how to change the summary of cloned issue during clone by : com.onresolve.scriptrunner.canned.jira.workflow.postfunctions.CloneIssue I didn't find the corresponding parameters such…

    • Script runner: setFieldOptions for custom picker field

      Hello I have applied some custom picker fields (e.g. user picker for a specified group) with script runner. Is it possible to use setFieldOptions of behaviour to restrict the selections to a smaller scope ?

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