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ai coding assistants have become an essential part of the development process as they help in generating, understanding, searching for items, and various tasks using prompts or code. Even cloud IDE platforms like Google Colab and Deepnote offer ai-assisted coding that can help you generate code and solve problems.
In this post, I will share the top 5 ai coding assistants worth checking out. They all come with VSCode extensions and are easy to configure. All you need to do is install them and start experiencing the newest and easiest way to develop programs.
GitHub Copilot is a tool that uses artificial intelligence to help programmers write code more efficiently. By installing the Copilot extension in VS Code, developers can generate code, learn from the code, autocomplete, and configure their editor.
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Copilot is a mature product that provides the latest and most accurate suggestions compared to other tools. With the new chat feature, developers can generate, modify and improve code on the fly using natural language. Additionally, online chat allows you to generate code directly in the text editor.
The only drawback of GitHub Copilot is that it is a paid tool. However, if you are a full-time software developer or engineer, paying $10 per month is a bargain.
codeio is a free and widely known tool that has recently gained popularity. It offers most of the features that GitHub Copilot offers and the best part is that it is free for people.
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You can use Codeium to ask questions related to the file, it will read it and provide you with contextual answers. Additionally, you can ask him or her to refactor, explain, improve, and resolve bugs in the code.
It also includes autocomplete, but I suggest you stick to your old Python autocomplete, as Codeium's autocomplete is not always accurate. However, the only drawback of Codeium is that it does not always generate the latest version of the code.
Cody is an ai-powered coding assistant that aims to help you write and understand code faster. It offers similar features to Codeium, such as chat, commands, code explanations, and autocomplete. It is available in free and pro version.
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I've been using Cody for almost two months now and it's been a smooth ride, until I started using it for my data and machine learning projects. Unfortunately, I've noticed that it doesn't take context into account and produces inaccurate code as a result.
However, in my personal experience using Codeium and Cody, I found that Cody sometimes does not understand the code and produces inaccurate autocomplete suggestions. That's why I prefer Codeium to Cody.
I recently discovered GPT Code: Chat Agents and ai and I was impressed by how it integrates any large state-of-the-art language model and offers a wide range of features. This extension provides ai chat support, code explanation, error checking, autocomplete, and much more. If you have access to the OpenAI API or any other platform, you can use this extension for free.
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I tested it using Google ai, Anthiopic ai and OpenAI API. Although the Claude 2.1 API is fast, I was not impressed with its accuracy. To make it more usable, developers should work to reduce the autocomplete lag and fix the issue of generating incorrect answers. A possible solution is to use Codeium for autocomplete and CodeGPT for code generation and troubleshooting.
tabino is an ai coding assistant that can help you speed up and simplify your software development process. It also ensures that your code remains private, secure, and compliant. Tabnine is currently used by over a million developers across various industries and has seven million downloads on VSCode.
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Although the free version of Tabnine is available, it may not be as effective as the Pro version. If you want to enjoy better coding assistance, it may be worth investing in the Pro version. However, the autocomplete feature of the free version is still quite fast and accurate.
If you are interested in trying Tabnine, you can take advantage of their 90-day trial period. Please note that you will need to add your payment details to access the trial.
ai-based coding assistants are transforming software development by increasing the efficiency and productivity of programmers. In this post, we've covered the top 5 ai coding assistants that I think anyone struggling with code logic, formatting, and testing should use.
Integrating one or more of these wizards into your workflow can increase your productivity, generate and understand code, resolve problems faster, and focus more on coding. Ultimately, these ai helpers allow developers to spend less time wrestling with code so they can create amazing software. Try them out during your next project.
Abid Ali Awan (@1abidaliawan) is a certified professional data scientist who loves building machine learning models. Currently, he focuses on content creation and writing technical blogs on data science and machine learning technologies. Abid has a Master's degree in technology Management and a Bachelor's degree in Telecommunications Engineering. His vision is to build an artificial intelligence product using a graph neural network for students struggling with mental illness.
