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Managing Technical Debt Without Killing Velocity: GitLab’s Planning Tools and Code Quality Features in Practice
In today’s fast-paced development environment, teams are under constant pressure to deliver features quickly. But speed often comes at a cost technical debt.At first, it might seem harmless: a quick workaround, a skipped test, or a piece of legacy code left untouched. Over time, however, these small compromises accumulate, slowing teams down and making every…
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DAST & Container Scanning with GitLab: Runtime and Image Security in Modern DevSecOps
In cloud-native architectures, vulnerabilities don’t just exist in source code, they exist in container images and in runtime behavior. To reduce risk effectively, enterprises must secure both the artifact and the application in motion. With GitLab, DAST (Dynamic Application Security Testing) and Container Scanning are embedded directly into GitLab CI/CD, enabling automated security within the…
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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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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…