Microsoft started working with OpenAI and introduced the GitHub Copilot for AI development. The AI coder for this project was trained using open-source code and OpenAI Codex.
As you work with your favourite IDE tools, Github Copilot uses the OpenAI Codex to make code recommendations. As is well known, it integrates well with JavaScript, Typescript, Python, Ruby, and Go. The launch of the GitHub Copilot sparked a social media frenzy. In their initial remarks, many people hailed the coding assistance as a big game-changer. Later, due to reasons like copyright breaches, many people started to worry utilising Github.
OpenAI GPT-3, a language prediction algorithm that produces writing that resembles human language, powers this tool. The various alternatives you have will be examined in this essay.
Tabnine
One of the first code completion programmes to hit the market was Tabnine (formerly known as Codota). The most well-liked programming languages, libraries, and frameworks are supported by the Tabnine plugin for your favourite IDEs. By only using permissive open-source code for training, Tabnine AI models ensure that your creations will always be yours. A real-time machine learning algorithm at the heart of Tabnine offers ideas as you use your chosen IDE tools. With the Tabnine Pro subscription, you may receive personalised code completions that fit your coding habits and style as well as train your own private AI model using your own code. You won’t have to rely on the code created by other people in your repository.
Common programming languages including Typescript, Python, Rust, and Go are supported by Tabnine. Every model in Tabnine is also optimised for a particular language, enabling precise auto-completion. Tabnine secures your code at all times when it comes to secrecy and compliance. IDE tools including VSCode, IntelliJ, Pycharm, Sublime, Rider, WebStorm, and AppCode are also integrated.
CaptainStack
Human resource managers and Stackoverflow are comparable to developers and Stackoverflow. Platforms and tools are therefore necessary. The two are combined by the free and open-source Captain Stack Visual Studio Code plugin. It is a Copilot-inspired tool for code recommendations that makes use of Google rather than AI. It gets and auto-completes responses from StackOverflow and Github Gist while submitting your search query to Google. Visit the CaptainStack information on Visual Studio Marketplace to discover how to install and utilise the CaptainStack if you want to. CaptainStack was created by Hieu Nguyen and is available without charge.
GPT-Code-Clippy (GPT-CC) (GPT-CC)
A joint project called GPT-Code-Clippy aims to develop GPT-Codex, an open-source alternative to GitHub Copilot, a GPT-3-based AI pair programmer. GPT-CC is improved using our GPT Code Clippy dataset, which was created from publicly accessible code on GitHub. It was created to make it simple for academics to assess sizable deep learning models trained on computer code in order to identify their advantages and disadvantages. The fundamental language model for GPT-CC is the GPT-Neo model, which was pre-trained on the Pile dataset. The Causal Language Modeling aim guides the model’s training.
IntelliCode
Microsoft’s IntelliCode is an experimental AI coding assistant that was trained on a number of GitHub projects and is only available with Visual Studio. One of IntelliCode’s most alluring features is team completion. In the era of remote work, companies with Microsoft-based architectures and developers who are proficient with Visual Studio may benefit from Team Completion. If you’re looking for an IDE-independent solution that enables team autocompletion training, Tabnine supports this functionality for all widely used IDEs.
Asm-Dude
For assembly files and disassembly windows, Asm-Dude is a Microsoft Visual Studio add-on that offers syntax highlighting and code completion. The main functions include label analysis, code completion, code folding, documentation links, syntax highlighting, and descriptions. You can see the source code right here.
Kite
Programmers can use Kite, an AI-powered programming assistant, to help them write Python code in JupyterLab. By saving keystrokes and displaying the appropriate data at the right time, the platform helps developers write faster.
To save developers time searching for Python documentation, Kite offers, at a high level, Line-of-Code Completions powered by machine learning models trained on the entire open-source code universe and fast documentation for symbols under the cursor.
