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Why GitLab Is the Better Choice for Modern DevSecOps Teams
In the modern software ecosystem, speed and security must go hand in hand. Development teams are under constant pressure to ship faster, stay secure, and reduce operational overhead. Choosing the right DevOps platform isn’t just a technical decision, it’s a strategic one.Both GitLab and GitHub are excellent Git repository platforms. But when you need more…
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GitLab Duo Core is evolving into the Duo Agent Platform (DAP) — What this means for Enterprises
AI in DevSecOps is evolving — and so is GitLab GitLab Duo Core is officially transitioning to the Duo Agent Platform, marking a significant step forward in how AI supports software development, security, and operations within the unified DevSecOps lifecycle. The evolution from Duo Core to Duo Agent Platform signals a shift from standalone AI…
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From Jenkins to GitLab CI/CD: A Practical Enterprise Migration Strategy
Many enterprises began their CI/CD journey with Jenkins. For years, Jenkins has been a powerful automation server enabling teams to build, test, and deploy applications. However, as software delivery has become more complex, many organizations are now facing challenges such as:a) Plugin sprawl and maintenance overheadb) Security and compliance visibility gapsc) Complex pipeline managementd) Difficulty…
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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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DORA Metrics & Engineering Productivity: Measuring What Matters with GitLab
Why Engineering Metrics Matter at the Board Level In today’s digital economy, software delivery performance is directly tied to business success. Speed, stability, and quality are no longer just engineering concerns — they are executive priorities. Yet many organizations still measure engineering success using outdated or misleading metrics such as lines of code, number of…
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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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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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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…