Gitlab code suggestions

GitLab's AI-assisted Code Suggestions is a powerful tool designed to boost coding productivity and accelerate software development. With the help of generative AI, developers can receive intelligent code suggestions while they are working, streamlining their workflow and saving valuable time.

With a single keystroke, developers can complete entire lines of code, easily start new functions, fill in boilerplate code, and even generate tests. This tool is built to prioritize data privacy and security, ensuring that your proprietary source code remains protected within GitLab's enterprise cloud infrastructure. It does not use your code as training data, so your source code inference against the Code Suggestions model is not retained.

Code Suggestions leverages open-source pre-trained models that are continuously fine-tuned using a customized open-source dataset. This enables support for multi-language coding and a variety of use cases. Currently, the tool supports 13 programming languages, including C/C++, C#, Go, Java, JavaScript, Python, PHP, Ruby, Rust, Scala, Kotlin, and TypeScript.

GitLab has future plans to expand the capabilities of Code Suggestions even further. They are actively working on providing Code Suggestions for self-managed instances through a secure connection to GitLab.com. Additionally, GitLab aims to improve the user experience by offering support for additional Integrated Development Environments (IDEs) such as JetBrains IntelliJ-based IDEs and Visual Studio. They also plan to enhance how suggestions are presented and accepted within IDEs, giving developers more control over this powerful feature.

Overall, GitLab's AI-assisted Code Suggestions empowers developers by providing intelligent code suggestions, optimizing coding efficiency, and ensuring the highest level of data privacy and security.