ML experiment: Explain this source code

GitLab is exploring the integration of AI and machine learning into its DevSecOps platform, with a particular focus on AI-assisted code explanations to help developers quickly understand unfamiliar or complex source code. This initiative is part of a broader series of blogs showcasing GitLab's efforts in harnessing AI/ML technologies. The company has developed a prototype that allows users to highlight and receive natural language explanations of code within the GitLab repository source code file viewer, a feature demonstrated by Denys Mishunov and Michael Le. Although currently experimental, GitLab aims to iterate on this feature and potentially extend it across various areas of its platform, such as merge requests and snippets. This work aligns with GitLab's broader goal of identifying and addressing time-consuming tasks in software development that could benefit from AI assistance. The blog emphasizes that information about upcoming products and features is subject to change and should not be used for purchasing or planning decisions.

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