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From Jira Story to “Done”: How GitHub Copilot + Atlassian MCP Server Delivered an Entire Feature Autonomously
What if Jira stories didn’t just describe work—but triggered it? This is a real-world walkthrough of how a Jira user story was fetched via Atlassian MCP Server, assigned to GitHub Copilot Agent Mode, fully implemented, validated, and closed. Why This Experiment Matters Most AI demos stop at: But real software delivery lives across systems: This experiment asked a…
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Git Blame Hover – Getting Started
Understanding who changed what and when in your codebase is crucial for effective development. Git Blame Hover transforms this essential task from a tedious command-line operation into an instant, informative experience right within VS Code What is Git Blame Hover? Git Blame Hover is an advanced VS Code extension that provides comprehensive git blame information…
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Secure DevOps with GitLab
The Modern Software Development Lifecycle is moving faster, and security threats are moving even faster than Software Development. From a small, leaked credentials to any vulnerable libraries or dependencies, these trivial mistakes in the code can lead to a major serious incident. So GitLab, being a DevSecOps (Development + Security + Operations) tool, provides a…
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Gaining Visibility into GitHub User Contribution Activity
Understanding Developer Engagement Through GitHub Contribution Activity GitHub user contribution activity plays a critical role in understanding how developers engage across repositories and organizations. As organizations scale, GitHub becomes the central platform for development and collaboration. However, gaining clear visibility into who is actively contributing — and who is not — becomes increasingly difficult. In…
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Why Enterprises Are Moving from Tool Sprawl to a Single DevSecOps Platform with GitLab
Enterprises today are under constant pressure to deliver software faster without compromising on security, compliance, or reliability. Over time, many organizations have adopted multiple tools to solve individual problems across the software delivery lifecycle. While each tool serves a purpose, together they often create tool sprawl a complex, fragmented ecosystem that slows teams down instead…
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No More Manual Approvals: Automate Jira Approvals with Smart Values
Atlassian has released a new feature, it would be helpful to automate the approval mechanism based on the issues reporter’s or assignee’s manager. To achieve this Atlassian has released new smart values We can use these smart values to automate the approver setting automatically through automation without manually selecting manager of the issues reporter or…
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Bringing the PowerPoint Laser Pointer Experience to Visual Studio
If you’ve ever presented code in Visual Studio—during a demo, training, or review—you’ve likely faced this moment: “I’m talking about this line… can you see my cursor?” PowerPoint solved this problem long ago with its laser pointer. Visual Studio didn’t—so we built one. The Visual Studio Laser Pointer Extension brings a PowerPoint-like laser pointer experience…
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From Chaos to Clarity: Mastering Project Delivery with GitLab Issues, Milestones & Issue Boards
Successful software delivery starts with clear planning and complete visibility. GitLab brings project management and DevSecOps together in a single, unified platform, helping teams move from ideas to production with confidence. Turn Ideas into Action with GitLab Issues Capture every feature, task, or bug as a GitLab Issue. Assign ownership, set priorities, and collaborate in…
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GitLab for Banks & Financial Institutions:Compliance, Security & Audit-Ready DevOps
Introduction Banks and financial institutions operate in one of the most regulated technological environments in the world. Every deployment must balance innovation and speed with risk mitigation, compliance, security, and audit transparency.Traditional SDLC and CI/CD models struggle to deliver this balance and leads to security gaps, fragmented visibility, and delays during releases and audits. GitLab…
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GitLab Duo & Agentic AI: The Future of Intelligent DevSecOps
Introduction The DevSecOps landscape is evolving rapidly, driven by the demand for faster software delivery, heightened security demands, stringent compliance requirements, and the necessity for scalable solutions. Traditional CI/CD pipelines are no longer sufficient — modern engineering teams need intelligence, automation, and end-to-end visibility. This is where GitLab Duo and Agentic AI redefine the DevSecOps…