Coding assistance 2023-06-29
Gitlab code suggestions icon

Gitlab code suggestions

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Enhanced productivity, accelerated development.
Generated by ChatGPT

GitLab's AI-assisted Code Suggestions is a tool designed to enhance coding productivity and accelerate software development. It provides generative AI-powered suggestions for code while developers are working, allowing them to complete entire lines of code with a single keystroke, quickly start functions, fill in boilerplate code, and generate tests, among other tasks.

The tool prioritizes data privacy and security, as it keeps proprietary source code protected within GitLab's enterprise cloud infrastructure and does not use code as training data.

Source code inference against the Code Suggestions model is not retained. Code Suggestions utilizes open-source pre-trained models that are continuously fine-tuned with a customized open-source dataset.

This enables support for multi-language coding and additional use cases. Currently, it 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 tool's capabilities.

They are working on providing Code Suggestions for self-managed instances through a secure connection to GitLab.com. Additionally, they aim to improve the user experience by offering support for additional 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 the feature.Overall, GitLab's AI-assisted Code Suggestions aims to empower developers by providing intelligent code suggestions, optimizing coding efficiency, and ensuring data privacy and security.

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Gitlab code suggestions was manually vetted by our editorial team and was first featured on June 29th 2023.
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Pros and Cons

Pros

Accelerates coding productivity
Generative completion of code lines
Quickly starts functions
Fills in boilerplate code
Generates tests
Proprietary source code privacy
Source code protection
Data privacy prioritized
Utilizes open-source pre-trained models
Fine-tuned with customized dataset
Multi-language coding support
Supports 13 programming languages
Future expansion plans
Additional IDEs support planned
Improved suggestions presentation
More control over suggestions
Not using code as training data
Source code inference not retained
Applied on GitLab's enterprise cloud
Code Suggestions for self-managed instances
Support for JetBrains IntelliJ-based IDEs
Support for Visual Studio

Cons

Limited language support
No self-managed instance support
Limited IDE integration
Potential delay in suggestions
Does not retain code inference
Future enhancements not immediate
Productivity heavily dependant on suggestions
Suggestions not customizable
Lacks detailed suggestion control
No offline functionality

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