Top 10 Visual Studio Code Generative AI Extensions in 2023
The top 10 visual studio code generative AI extensions in 2023 shaking up the software development
The top 10 visual studio code generative AI extensions in 2023 shaking up the software development space are infused extensions in the Marketplace ranked installs. With Generative AI tools shaking up the software development world, the Visual Studio Code Marketplace now has over 400 AI-infused modules.
Top 10 Visual Studio Code Generative AI Extensions in 2023
IntelliCode: IntelliCode, which is built into Microsoft’s flagship IDE, Visual Studio, is given to the open-source, cross-platform VS Code editor via this Microsoft tool, which has been loaded over 27 million times. IntelliCode enhances IntelliSense’s code-completion skills in several ways. IntelliCode analyzes thousands of open-source GitHub repos to find the code fragments most likely to be used and places them at the head of the suggestion list, whereas IntelliSense merely uses a project’s code context for its recommendations. Unlike IntelliSense, it can also perform whole-line code completions.
Tabnine AI Autocomplete for JavaScript, Python, Typescript, PHP, Go, Java, Ruby & more: With over 5 million downloads, this AI code helper also includes machine learning models based on open-source code projects with permissive licenses. It supports whole-line code completions, full-function completions, and natural language to code completions, so developers can explain the function they want and it will recommend the appropriate code. As the name implies, the utility supports a broad range of languages, libraries, and frameworks, totaling 25 in total. It has lately acquired the capability of generating unit testing code.
GitHub Copilot: This “AI pair programmer” shook up the software development area in 2021 when it launched with sophisticated machine language models developed by Microsoft collaborator OpenAI, the company behind the well-known ChatGPT offering. Along with code completion, it can transform comments into code, make unit tests, generate SQL searches, and much more. It is compatible with all programming languages, including PHP, Java, and others. Python, Go, C#, C++and Java.
Azure Machine Learning (Preview): Despite the preview label, this free Microsoft utility was launched in 2017 and has been loaded over 1.5 million times; it was updated today, March 8. This extension, formerly known as “Visual Studio Code Tools for AI,” connects to the Azure Machine Learning service, allowing coders to complete the majority of the following tasks immediately in the VS Code editor.
Build and train machine learning models more quickly, and distribute them to the cloud or the periphery with ease. Use cutting-edge open-source tools like TensorFlow, PyTorch, or Jupyter. Experiment locally, then rapidly scale up or down with big GPU-enabled cloud groups. Automated machine learning and hyper-parameter tweaking help to accelerate data science. With integrated CI/CD tooling, you can track tests, handle models, and publish quickly.
Azure Machine Learning – Remote (Preview): As the name implies, this complimentary utility supplements the previous one by allowing you to access a distant Azure Compute Instance. It was launched two years ago and was recently revised. It has over 1.3 million downloads and a 3.7 grade from three reviewers.
Dependency Analytics (Preview): This free utility from Red Hat offers Insights about the application’s dependencies: Security, License compatibility, and AI-based guidance to choose appropriate dependencies for your application. It currently supports Maven, Python, Go, and npm (Node ecosystem) applications, with additional language support on the way. It has been downloaded over 1 million times and has received a 4.3 grade from 12 users.
Blackbox: Java, Scala, C and C++, C#, JavaScript, SQL, PHP, Go, TypeScript, Kotlin, R, Swift, Rust, Ruby, Python, Dart, and MATLAB are among the computer languages supported. The update includes repo and code searches, with the latter expanding to Jupyter Lab and Jupyter Notebooks, as well as autocomplete for those famous Python-based projects.
Inkling: However, Microsoft Learn documentation for the declarative, statically-typed language computer language for teaching AI with Bonsai is accessible. According to Microsoft Bonsai documentation, it accelerates the development of AI-powered automation to help improve product quality and productivity while decreasing downtime, and it is currently in beta. Bonsai operates on the Azure cloud and needs a Microsoft account.
ChatGPT: This free utility from developer Ali Gençay was evaluated by Visual Studio Magazine in January when it had only 42,457 downloads. It now has 368,884, demonstrating OpenAI’s AI-powered chatbot’s out-of-this-world appeal. It enables browser or official API interaction for OpenAI’s sophisticated machine language models ChatGPT, GPT3.5, GPT3, and Codex. It was upgraded today and now supports the brand-new OpenAI API access as well as the OpenAI GPT-3.5-Turbo model, which is now the default.
GitHub Copilot Nightly: This appears to only include the most recent updates to the GitHub Copilot utility mentioned above. It has received a 4.7 grade from 15 users and has been downloaded over 225,000 times.
