As the world becomes increasingly digitized, the importance of artificial intelligence (AI) in software development cannot be overstated. AI has proven to be a valuable tool for programmers, making their work faster, easier, and more efficient. In this article, we shall have a short introduction to the top ten AI tools and code assistants that can generate, autocomplete, and even debug code.
Top 10 AI Code Assistants and Generators
One of the most significant benefits of AI in programming is code assistance, where AI-powered tools provide suggestions and auto-completions to programmers while they write code. These tools can save programmers time, reduce errors, and help them write better code. Here are our top 10 AI tools to try out in no particular order.
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1. GitHub Copilot:
A revolutionary AI-powered code assistant developed by OpenAI in collaboration with GitHub. It uses machine learning models to suggest code while you write, allowing developers to write code faster and more efficiently. Copilot is trained on a vast amount of code from various sources and can suggest code in multiple programming languages.
- Get started with Copilot.
2. Stunning.so:
A design collaboration tool that uses AI to generate website designs based on user inputs. It allows designers to create unique and customized designs in minutes and offers a wide range of design options to choose from.
- More info on Stunning.
3. Phind.com:
An AI-powered search engine for developers. Phind (formerly Hello) simply tells users what the answers are and is optimized for developers and technical questions. It instantly answers questions with simple explanations and relevant code snippets from the web. Phind is powered by large, proprietary generative AI language models.
- Try Phind here.
Related: How to Use the New Bing with ChatGPT
4. SourceAI.dev:
An AI-powered code completion tool that provides suggestions and auto-completion for multiple programming languages. It uses machine learning models to predict the next lines of code, helping developers write code faster and more accurately.
- Get started with SourceAI.dev.
5. ChatGPT:
A large language model developed by OpenAI that can understand and generate natural language. It can ChatGPT is a large language model developed by OpenAI, primarily designed for natural language processing tasks such as generating text, answering questions, and providing information on a wide range of topics. However, its ability to understand programming languages and concepts has led to its use as a code assistant tool for programmers.
- More about ChatGPT.
6. Codeium.com:
An AI-powered code review tool that helps developers review their code and identify potential issues. It uses machine learning models to analyze code and provides suggestions for improvement. It is available as an extension for both browsers and VSCode.
- Get started with Codeium.
7. DebugCode.AI:
An AI-powered debugging tool that helps developers identify and fix errors in their code. It uses machine learning models to analyze code and provide suggestions for fixing errors.
- Try DebugCodeAI here.
Related: Artificial Intelligence (AI) Vs Artificial General Intelligence (AGI)
8. Tabnine:
An AI-powered code completion tool that provides suggestions and auto-completion for multiple programming languages. It uses deep learning models to predict the next lines of code and can learn from the user’s codebase to provide more accurate suggestions.
- More information on Tabnine.
9. Rix: Hashnode:
Hashnode is a powerful blogging platform that helps users write and publish blog posts. I am privileged to be a part of this community and I am among 1000 developers trying out the newly launched AI tools.
- Visit Rix here.
10. YouCode:
YouChat is a conversational AI platform that allows businesses to easily create and deploy conversational bots for messaging and voice services. YouCode is an AI-powered coding platform that helps users learn to code by providing personalized feedback and suggestions. It uses machine learning models to analyze the user’s code and provide suggestions for improvement.
- Try YouCode here.
Related: What are LLMs (Large Language Models) as Used in AI
Conclusion
We do hope that you have enjoyed our curation. I have personally used about five of these tools and I believe I am now more of a code reviewer than coding from scratch. If you have tried any of these tools, do let us know in the comment section.
