How AI-assisted code suggestions will advance DevSecOps

GitLab is integrating artificial intelligence (AI) and machine learning (ML) into its DevSecOps platform to enhance the software development lifecycle by offering AI-assisted code suggestions. These suggestions aim to improve coding efficiency by reducing errors, accelerating coding tasks, and facilitating better collaboration among developers. GitLab's AI-assisted code suggestions leverage ML techniques to propose syntax improvements, streamline code organization, and suggest more effective methods, which can lead to higher quality and more reliable software. The platform aims to increase developers' productivity, support continuous integration and deployment, and simplify the software development process, including in low-code/no-code environments. GitLab is currently offering these AI-assisted code suggestions to select Ultimate customers in a closed beta, with plans for a wider open beta in the future. The initiative is part of GitLab's broader effort to incorporate AI/ML into its platform, promising to provide significant competitive advantages in delivering software quickly and efficiently.

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