Microsoft began collaborating with OpenAI and launched the AI programming GitHub Copilot. This project utilized OpenAI Codex, and the AI programmer was trained using open-source code. 

Github Copilot utilizes the OpenAI Codex to recommend code as you use your preferred IDE tools. It works nicely with JavaScript, Typescript, Python, Ruby, and Go, as is common knowledge. When the GitHub Copilot was released, it caused a social media frenzy. Many have described the coding help as a significant game-changer in their initial reactions. Later, many began to fear using Github owing to causes such as Copyright violations.

This tool is driven by OpenAI GPT-3, a language prediction technology that generates writing that resembles human language. This article will analyze the diverse options available to you.

Tabnine

Tabnine (formerly known as Codota) was among the first code completion tools to be introduced to the market. The Tabnine plugin for your preferred IDEs supports the most popular programming languages, libraries, and frameworks. Tabnine AI models are trained exclusively on permissive open-source code, guaranteeing that your work remains yours. The core of Tabnine is a real-time machine learning algorithm that provides suggestions while using your preferred IDE tools. The Tabnine Pro subscription enables you to train your own private AI model based on your code and receive custom code completions that match your coding style and habits. You will not be required to rely on code written by others in your repository.

Tabnine supports common programming languages such as Typescript, Python, Rust, and Go. In addition, every model in Tabnine is tuned for specific languages, allowing for accurate auto-completion. When it comes to confidentiality and compliance, Tabnine always protects your code. Additionally, it integrates IDE tools such as VSCode, IntelliJ, Pycharm, Sublime, Rider, WebStorm, and AppCode.

CaptainStack

Developers and Stackoverflow are akin to human resource managers and Stackoverflow. Therefore, platforms and tools are required. Captain Stack is a free and open-source Visual Studio Code plugin that combines the two. It is a code recommendation tool inspired by Copilot that uses Google instead of AI. It submits your search query to Google and retrieves and auto-completes replies from StackOverflow and Github Gist. If you wish to use the CaptainStack, go to the CaptainStack information on Visual Studio Marketplace, where you can learn how to install and use it. Hieu Nguyen built CaptainStack, which is available for free.

GPT-Code-Clippy (GPT-CC)

GPT-Code-Clippy is a collaborative effort to create GPT-Codex, an open-source counterpart of GitHub Copilot, a GPT-3-based AI pair programmer. Our GPT Code Clippy dataset, derived from publicly available code on GitHub, is utilized to fine-tune GPT-CC. It was designed to make it easy for academics to evaluate large deep-learning models trained on code to determine their strengths and limitations. The GPT-Neo model, pre-trained on the Pile dataset, is the basic language model for GPT-CC. The model is trained with the Causal Language Modeling objective in mind.

IntelliCode

IntelliCode is an experimental AI coding helper trained on a selection of GitHub projects; it is a Visual Studio-exclusive Microsoft offering. Team completion is one of the most attractive features of IntelliCode. In an age of remote labour, firms with a Microsoft-based architecture and Visual Studio-savvy developers may find Team Completion advantageous. Tabnine supports this capability for all popular IDEs if you're searching for an IDE-agnostic solution that enables team autocompletion training.

Asm-Dude

Asm-Dude is an addon for Microsoft Visual Studio that provides syntax highlighting and code completion for assembly files and disassembly windows. The primary features are syntax highlighting and descriptions, documentation links, code completion, code folding, structure help, and label analysis. Here you can view the source code.

Kite

Kite is an AI-powered programming helper that assists programmers in writing Python code within JupyterLab. The platform enables developers to write faster by conserving keystrokes and displaying the appropriate data at the right moment.

Kite provides, at a high level, Line-of-Code Completions driven by machine learning models trained on the full open-source code universe and quick documentation for symbols under the cursor to save the developer time hunting for Python documentation. Here you can view the Kite source code and additional information.