AI-Powered Tools for Developers
Tags: webdev, ai, programming, machinelearning
Published: 2023-02-20 05:00:00


![An illustration of a man talking with a robot](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ooyjjlbmya5rsjve6tjd.jpg)


Artificial intelligence (AI) is transforming the way we write code. With the help of AI-powered tools, developers can write code more efficiently, reduce the number of errors, and improve the quality of their software. In this article, we'll take a look at some of the most popular AI-powered coding tools, including ChatGPT, Copilot, CodeGuru, TabNine, and IntelliCode.


## ChatGPT


![ChatGPT](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/xu4gc8bvhden5zmlxqh6.jpg)


[ChatGPT](https://openai.com/blog/chatgpt/) is an AI language model that can generate human-like responses to text prompts. Created by OpenAI in 2020, ChatGPT can be used for a range of applications, including chatbots, language translation, and content generation. While ChatGPT can generate natural-sounding responses and has a large knowledge base, users should be aware of the potential for bias and inappropriate content.
The largest version of ChatGPT, GPT-3, has **175 billion parameters**, making it one of the largest language models in the world.

## Copilot

![GitHub Copilot](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ixdm1hks4gtwjb4a4lgo.png)


[Copilot](https://copilot.github.com/), created by GitHub (Microsoft) in 2021, is an AI-powered code suggestion tool that provides contextually relevant code snippets based on the code you're writing. It can be used to save time and increase productivity when writing code. While Copilot can suggest code snippets quickly and accurately, users should be aware of the potential for insecure or inefficient code.
Copilot was trained on a dataset of over **10 million lines** of code from open-source software repositories on GitHub.

## CodeGuru

![CodeGuru](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/3razg7ra12q1chewo7p4.png)


[CodeGuru](https://aws.amazon.com/codeguru/) is an AI-powered code review tool created by Amazon Web Services. It uses machine learning to identify performance issues, security vulnerabilities, and other code quality issues in your codebase. It can also provide recommendations for improving your code. CodeGuru can help you improve the quality of your code and reduce the number of errors in your software.
CodeGuru's machine learning algorithms can analyze code **up to 10 times faster** than traditional rule-based approaches, allowing it to provide more accurate and timely feedback.

## TabNine

![TabNine](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/syxewxtwnnm7zruy2rp0.png)


[TabNine](https://www.tabnine.com/), created by TabNine in 2019, is an AI-powered code completion tool that suggests code snippets based on the code you're writing. It can be used to save time and increase productivity when writing code. While TabNine can suggest code snippets quickly and accurately, users should be aware of the potential for irrelevant or incorrect code suggestions.
TabNine was initially released as a plugin for the **Atom text editor** in 2019.

## IntelliCode

![IntelliCode](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/z53ic9239z3zwirizhbv.jpg)


[IntelliCode](https://visualstudio.microsoft.com/services/intellicode/), created by Microsoft in 2018, is a code suggestion and completion tool that uses machine learning to provide contextually relevant suggestions based on the code you're writing. It can be trained on your own codebase to provide more accurate suggestions. While IntelliCode can suggest contextually relevant code snippets, users should be aware of the potential for insecure or inefficient code.
IntelliCode is available as a plugin for **Visual Studio and Visual Studio Code**.


![Summary image](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/cdgjymk02bg863llpdn4.png)


**In summary**, AI-powered coding tools can help developers write code more efficiently and reduce the number of errors in their software. However, users should be aware of the potential for bias, inappropriate content, and insecure or inefficient code. As with any tool, it's important to use AI-powered coding tools responsibly and to supplement them with good coding practices and manual code review.