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Unlocking the Power of Jira with ScriptFabric: Automation and Customization Made Easy
Jira has become the backbone of modern team collaboration, helping organizations plan projects, manage workflows, and deliver value faster. But as businesses grow, their processes become more unique, complex, and demanding. The question is no longer just, “How can Jira help us manage work?” It becomes, “How can Jira adapt to the way our business…
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Hyperautomation in 2026: Combining RPA, AI, and Agentic Systems
Organizations are combining RPA, Artificial Intelligence (AI), and agentic AI systems to automate complex business workflows, improve decision-making, and reduce operational costs. Enterprises evaluating digital transformation initiatives should prioritize integrated hyperautomation platforms over standalone automation tools. Businesses that adopt this approach gain faster execution, intelligent orchestration, and continuous process optimization across departments. Why Hyperautomation Has…
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How to Build Your First Rovo Agent Without Coding
A Step-by-Step Guide for Teams Ready to Automate Smarter with Atlassian AI Imagine having a dedicated team member available 24/7 – one that instantly answers your team’s questions, automates repetitive tasks, and connects the dots across all your Atlassian tools. That’s exactly what Atlassian Rovo Agents offer. The best part? You don’t need to write…
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Advanced GitLab CI/CD Patterns: Dynamic Pipelines, Child Pipelines, and Pipeline Templates
As software systems grow in complexity, traditional CI/CD pipelines often become difficult to manage, maintain, and scale. Large monolithic pipeline configurations can slow down execution, reduce visibility, and increase operational overhead. To address these challenges, GitLab CI/CD provides advanced pipeline design patterns that enable teams to build modular, scalable, and efficient automation workflows. Within the…
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Automating Code Reviews with GitLab Bots and Rules
Code reviews are an important part of the software development process, but they can also slow things down. Delays often happen when reviewers are busy, unavailable across time zones, or need to go through multiple rounds of feedback. This can make the review process feel repetitive and time-consuming. What if the first review pass could…
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Duo Agent Platform (DAP): The Next Evolution of AI-Powered DevSecOps
Artificial Intelligence in software development is no longer just about code suggestions. Enterprises are now moving beyond basic AI assistants toward agentic AI systems that can reason, act, and collaborate across the entire software lifecycle. This is where Duo Agent Platform (DAP) from GitLab enters the picture. The Duo Agent Platform represents the next evolution…
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Software Supply Chain Security: How GitLab Helps Enterprises Defend Against Modern Threats
Introduction: The New Enterprise Attack Surface In today’s digital-first world, software is no longer built in isolation. Modern applications rely on open-source libraries, third-party APIs, cloud infrastructure, CI/CD pipelines, and automated deployment systems. While this accelerates innovation, it also dramatically expands the enterprise attack surface. Recent high-profile supply chain breaches have made one thing clear:attackers…
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AI Meets DevSecOps: How GitLab Duo Is Redefining Software Delivery
Software delivery is entering a new era. Automation transformed DevOps. Security embedded DevSecOps. Now, Artificial Intelligence is redefining how teams build, secure, and deliver software. Modern development teams face growing complexity, larger codebases, faster release cycles, increasing security threats, and rising expectations for quality. Traditional tooling alone is no longer enough. GitLab Duo brings AI-powered…
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From Planning to Production: How GitLab Delivers End-to-End Visibility
In modern enterprises, software delivery rarely fails due to lack of effort, it fails due to lack of visibility. When planning happens in one tool, code lives in another, pipelines run elsewhere, and security findings are tracked separately, leaders lose sight of progress, risks, and bottlenecks. GitLab solves this challenge by providing true end-to-end visibility…
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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…