7 Best AI Coding Assistants of 2023
In today’s fast-paced and ever-changing world of programming, it can be difficult to keep up with the latest trends and techniques. That’s where artificial intelligence (AI) coding assistants come in handy. These software programs use machine learning algorithms to assist developers in writing code, debugging errors, and completing tasks more efficiently.
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With so many AI coding assistants available on the market, it can be challenging to determine which one is the best fit for your specific needs. In this article, we will explore the top AI coding assistants that can help make your coding experience more enjoyable and efficient.
We will evaluate each of these assistants based on their features, capabilities, and user reviews to help you make an informed decision when selecting the right tool for your next project.
Best AI Coding Assistants
Here are the top AI coding assistants that can help programmers write better, faster, and more accurate code:
| AI Coding Assistant | Supported Languages | Integration | Price |
|---|---|---|---|
| Codiga | C++, C#, Java, Python, JavaScript, Ruby, PHP, TypeScript, Kotlin, Swift, SQL | Visual Studio, VS Code, Sublime Text, Atom, IntelliJ IDEA, PyCharm, WebStorm, Vim, Emacs, Eclipse, Xcode, Android Studio, and more | Free |
| GitHub Copilot | Multiple | Visual Studio Code, JetBrains, Emacs, and Vim | Currently in technical preview, free for open-source, commercial use will require payment |
| Replit | Python, JavaScript, HTML/CSS, Java, Ruby, Lua, Go, Swift, C#, and more | Web-based, seamless integration with Replit’s online IDE | Free for basic features, paid plans available for more features |
| Tabnine | Multiple | Visual Studio, VS Code, Atom, PyCharm, IntelliJ IDEA, Vim, and more | Free, paid plans available for additional features |
| MutableAI | Multiple | Integrated with popular text editors, including VS Code, Sublime Text, Vim, Emacs, and more | Free, paid plans available for additional features |
1. Codiga
Codiga Features Summary
- Codiga Coding Assistant for creating, sharing, and reusing code snippets from within the IDE
- Codiga Code Analysis and Automated Code Reviews for detecting coding issues such as security vulnerabilities, complex functions, long functions, code duplicates, and outdated dependencies
- Reporting of all CVE or CWE issues
Codiga is a powerful tool that helps software companies and developers improve their coding processes. With Codiga’s Coding Assistant, developers can search for reusable code directly within their integrated development environment (IDE). This feature saves developers time and increases productivity by reducing the time spent searching for reusable code.
Codiga’s Code Analysis and Automated Code Reviews feature helps developers detect coding issues and vulnerabilities quickly. The tool automatically finds security vulnerabilities, complex functions, long functions, code duplicates, and outdated dependencies, and reports them to the developer. This helps developers to avoid potential errors and bugs in their code, improving the overall quality of their work.
Codiga’s pricing is also competitive, with a starting price of $12 per month. The free version of Codiga is also available, which provides users with access to some of the tool’s features. Furthermore, a free trial is available for those who want to test the platform’s capabilities before committing to a purchase.
Pros:
- Easy to use
- Robust language support
- Automation of certain tasks
- Team collaboration
- Flexible customization options
Cons:
- Costly, especially for larger organizations
- Lack of advanced features
- Limited third-party plugins
Pricing
Starting Price: $12 per month
Free Version: Free Version available.
Free Trial: Free Trial available
Bottom Line
Codiga is a powerful coding assistant and automated code review tool that can help software companies and developers write better code, faster. Its combination of features, competitive pricing, and ease of use make it an attractive option for anyone looking to streamline their coding processes and improve their code quality.
2. GitHub Copilot
GitHub Copilot Features
- GitHub Copilot is an AI pair programmer that suggests whole lines or entire functions within the editor, saving you time and keeping you focused.
- Trained on billions of lines of public code, GitHub Copilot has access to a vast knowledge base and can help you find your way around almost any language or framework.
- Available as a Visual Studio Code extension, GitHub Copilot can be used on your machine or in the cloud on GitHub Codespaces, and it’s fast enough to use as you type.
- GitHub Copilot adapts to your coding style and allows you to cycle through alternative suggestions, choose which to accept or reject, and manually edit suggested code.
GitHub Copilot is a game-changing tool for developers looking for an AI coding assistant to help them write code. With its vast knowledge base of public code and ability to suggest whole lines or entire functions, GitHub Copilot saves developers time and helps them stay focused on the task at hand. It’s available as a Visual Studio Code extension and can be used both on your machine and in the cloud on GitHub Codespaces, making it a versatile and convenient tool to have in your coding toolkit.
One of the most impressive features of GitHub Copilot is its ability to work with a broad set of frameworks and languages. Although the technical preview works especially well for Python, JavaScript, TypeScript, Ruby, and Go, it can help you find your way around almost any language or framework. This means that no matter what language or framework you’re working with, GitHub Copilot can assist you in writing code.
Another strength of GitHub Copilot is its adaptability. It allows you to cycle through alternative suggestions, choose which to accept or reject, and manually edit suggested code. This means that developers are always in charge and can make sure that the code is aligned with their coding style.
Pros:
- Greatly reduces the amount of work and time needed for coding
- Easy to use and learn, with a snappy and efficient performance
- Able to generate code from context and comments with high accuracy
- Generates valid CSS and can insert snippets from stack overflow
- Works seamlessly in a variety of IDEs
Cons:
- Expensive subscription service
- Risk of relying too much on the tool for some people
Pricing
Starting Price: $10 per month
Free Version: Free Version available.
Bottom Line
GitHub Copilot is an impressive tool that can significantly enhance a developer’s workflow. While it may not be perfect, its strengths outweigh any weaknesses, making it a worthwhile addition to any developer’s coding toolkit. If you’re looking for an AI coding assistant to help you write code, GitHub Copilot is definitely worth a try.
3. Replit
Key Features of Replit
- Collaborative, in-browser IDE for coding in 50+ languages.
- No setup required – start coding with your favorite language on any platform, OS, or device.
- Google-docs like editing allows for real-time collaboration with teammates and colleagues.
- Import and run millions of GitHub repos with zero manual setup.
- From Python to C++ to HTML and CSS, learn and code in any language on one platform.
- Instantly live and sharable repls for easy sharing with the world.
- Access to a community of 3 million+ programmers, technologists, and learners of all kinds.
- Interactive docs, real-time collaboration, and 0-hassle remote interviewing to improve team productivity.
- Create apps programatically and customize the IDE with plugins to fit your needs.
Replit is a powerful and versatile in-browser IDE that provides an excellent solution for DevOps teams searching for a collaborative coding environment. With support for over 50 languages and a Google-docs like editing system, team members can easily collaborate on code, improving productivity and collaboration.
One of the best things about Replit is that there’s no setup required, making it incredibly easy to get started coding. Whether you’re on Windows, macOS, or Linux, you can start coding in your favorite language right away. Additionally, Replit allows you to import and run millions of GitHub repos with zero manual setup, making it easy to collaborate on existing projects.
Replit also features a community of over 3 million programmers, technologists, and learners, making it an excellent place to learn and grow as a developer. Its interactive docs, real-time collaboration, and 0-hassle remote interviewing features also help to boost team productivity and make team management easier. Finally, Replit allows you to create apps programatically and customize the IDE with plugins to fit your needs.
Pros:
- Web-based, accessible from any device with internet access.
- Supports a wide range of languages including Python and C++.
- Simple UI that is easy to navigate.
- Offers both dark and light mode for user preference.
- Easy integration with GitHub for collaborative projects.
Cons:
- Limited features compared to paid services, but upgrades available for a fee.
- No additional services beyond the IDE.
Pricing
Starting Price: $7 per month
Pricing Details: $15 per month for Business Teams Pro plan
Free Version: Free Version available.
Bottom Line
Replit is an excellent choice for DevOps teams looking for an easy-to-use and collaborative coding environment. Its features make it an attractive option for anyone looking to code in any language on any platform, without having to spend any time on setup.
4. ChatGPT
Key Features of ChatGPT
- ChatGPT can suggest code completions and generate code snippets, speeding up the coding process.
- ChatGPT can help developers quickly find and correct errors in their code by suggesting fixes and offering explanations.
- ChatGPT can be fine-tuned to specific programming languages, allowing it to provide more accurate suggestions and code completions.
- ChatGPT can assist with documentation by suggesting appropriate comments and providing explanations of code.
- ChatGPT can be used to generate test cases and scenarios, helping developers ensure their code is robust and comprehensive.
- ChatGPT can help developers learn new programming concepts and techniques by answering questions and providing explanations in natural language.
- ChatGPT can assist with code reviews by suggesting improvements and offering alternative solutions.
- ChatGPT can help improve code quality and maintainability by providing suggestions for code organization and best practices.
ChatGPT is a powerful AI coding assistant that can help developers write better code, faster. By leveraging the model’s natural language processing capabilities, developers can quickly and easily generate high-quality code without having to write it themselves from scratch. This saves a significant amount of time and effort, allowing developers to focus on more complex aspects of their projects.
With ChatGPT, developers can also easily fine-tune the model to their specific needs, enabling them to create customized models that can perform specific tasks with high accuracy. This ultimately leads to more efficient and effective coding, which can help developers deliver better quality products in less time.
One of the best things about ChatGPT is its ease of use. It’s extremely simple to use, and can write text, contracts, code, spreadsheets, and more. Users can be amazed at how good ChatGPT is, and can leverage it for their use cases.
ChatGPT can also generate formatted code blocks in response to prompts, which can save developers time by eliminating the need to search for solutions online. Although it’s important to review the generated code for accuracy, this feature can significantly reduce the time and frustration associated with debugging.
However, there are some limitations. ChatGPT does not have internet access yet, and the most recent training data ends in 2021. Nonetheless, it’s important to remember that it’s still in beta and it will evolve in the future. Once fully unleashed, ChatGPT has the potential to change the world.
Pros of ChatGPT:
- Best chatbot available
- Simple to use
- Versatile and can write code as well as text, spreadsheets, and more
- Extremely good at generating code
- Can be fine-tuned for specific NLP tasks such as question answering, text classification, and language translation
Cons of ChatGPT:
- No internet access yet
- Most recent training data ends in 2021
Pricing
Starting Price: Free
Free Version: Free Version available
ChatGPT Plus: $20 a month. (Updated as of February 2023)
Bottom Line
ChatGPT is a powerful tool for developers looking to streamline their coding process. As a pre-trained language model with a transformer architecture, ChatGPT has the ability to generate code and provide suggestions for completing code with ease. The model’s training on a large corpus of text data allows it to generate human-like responses and makes it an incredibly versatile tool for developers.
5. Tabnine
Tabnine Key Features
- AI-powered code autocompletion
- Supports multiple languages and editors
- Integrates with popular IDEs and text editors
- Context-aware suggestions
- Frequently updated with new features and improvements
Tabnine is an AI-powered code autocompletion tool that offers a wide range of features to help developers write code faster and more efficiently. It supports multiple languages and editors, making it a versatile choice for coders working across different platforms. Tabnine integrates with popular IDEs and text editors, including Visual Studio Code, IntelliJ IDEA, and Vim, among others.
One of the standout features of Tabnine is its context-aware suggestions, which help to provide more accurate and relevant autocompletion suggestions based on the context of the code. This can be especially useful for coders working on large or complex projects, where keeping track of all the different variables and functions can be challenging.
Another benefit of Tabnine is that it is frequently updated with new features and improvements, which helps to ensure that it remains a powerful and relevant tool for developers. Some of the most recent updates have included new language support and improved performance, among other things.
While there are many benefits to using Tabnine, there are also some potential drawbacks to keep in mind. One of the main criticisms of the tool is that it can be somewhat resource-intensive, which means that it may not be the best choice for older or slower machines. Additionally, some users have reported that the suggestions provided by Tabnine can be overly aggressive at times, which can lead to errors or other issues.
Pros:
- AI-powered code autocompletion
- Supports multiple languages and editors
- Context-aware suggestions
- Integrates with popular IDEs and text editors
- Frequently updated with new features and improvements
Cons:
- Can be resource-intensive
- Suggestions can be overly aggressive at times
- May not be the best choice for older or slower machines
Pricing
Starting Price: $12 per user per month
Free Version: Free Version available.
Bottom Line
Tabnine is an impressive AI coding assistant that offers powerful features and capabilities to help developers write better code faster. Tabnine is a reliable and valuable coding assistant that can help improve productivity and streamline the coding process for both beginners and experts alike.
6. MutableAI
MutableAI Key features:
- Uses AI to help build production-quality code quickly
- Offers AI autocomplete for faster prototyping
- Specialized neural networks minimize time spent on boilerplate code and searching for solutions on Stack Overflow
- Allows for easy refactoring, documentation, and adding types to code
- Can generate unit tests automatically using AI and metaprogramming
MutableAI is a powerful AI coding assistant that promises to help developers create production-quality code with ease. Using advanced neural networks and machine learning algorithms, MutableAI can help users minimize the time they spend on boilerplate code and searching for solutions on Stack Overflow.
With AI autocomplete, developers can prototype their code faster and more efficiently, and the platform can even generate unit tests automatically using AI and metaprogramming. The platform also allows for easy refactoring, documentation, and adding types to code, making it a comprehensive solution for building high-quality code quickly.
One of the biggest advantages of MutableAI is its AI-powered approach to coding, which can help users save time and reduce the amount of manual labor required to build production-quality code. With its specialized neural networks and machine learning algorithms,
MutableAI can offer personalized recommendations and solutions that are tailored to each user’s specific needs. I particularly enjoy the feature of MutableAI that allows for code cleanup and organization into groups.
Additionally, the platform’s ability to generate unit tests automatically can save users a significant amount of time and effort.
Pros:
- Uses AI to help save time and reduce manual labor
- Specialized neural networks and machine learning algorithms offer personalized recommendations and solutions
- Can generate unit tests automatically
- Allows for easy refactoring, documentation, and adding types to code
- Offers AI autocomplete for faster prototyping
Cons:
- May not be suitable for developers who prefer a more hands-on approach to coding.
Pricing
Starting Price: $15 per seat per month
Free Version: Free Version available.
Bottom Line
MutableAI is a strong option for programmers interested in using an AI coding assistant to speed up their workflow and improve the quality of their code. Its advanced features and focus on helping developers build production-quality code make it a valuable tool for any development team.
7. AiXCoder
AiXCoder Key Features:
- Uses state of the art deep learning model compression techniques for local processing of code
- Trained on a massive amount of open source code for multiple programming languages
- Seamlessly integrated search window with deep learning filter for high-quality code results
- Personalized and customized training options for individual and enterprise use
- Compatible with various mainstream programming languages and IDEs
AiXCoder is an AI-powered tool that can enhance a developer’s productivity and efficiency in writing code. One of its most impressive features is the seamless integration of a search window that allows developers to search open-source code on GitHub. This feature is powered by deep learning, which filters high-quality code as search results. Additionally, AiXCoder has personalized and customized training options that allow developers to train models on their personal projects, computer, or code base and enterprise server.
Another great aspect of AiXCoder is its compatibility with various mainstream programming languages and IDEs, making it a versatile and flexible tool for developer teams. It can also customize new programming languages according to enterprise needs. However, it’s worth noting that the cloud intelligent programming service is currently only compatible with IntelliJ IDEA, and the cloud intelligent programming service currently only supports Java language.
Pros:
- Powerful search functionality powered by deep learning
- Personalized and customized training options for individual and enterprise use
- Compatible with various mainstream programming languages and IDEs
- Can customize new programming languages according to enterprise needs
- Can work offline for added security
Cons:
- Limited cloud intelligent programming service compatibility
- Limited programming language support for cloud intelligent programming service
- May require some setup and configuration for personalized training options.
Bottom Line
AiXCoder is a powerful AI coding assistant that offers a range of features to help developers write better code faster. Its use of deep learning models, personal and customized training, and seamless integration with various IDEs and programming languages make it a versatile tool for developer teams of all sizes.
Criteria for Choosing an AI Coding Assistant
Choosing the right AI coding assistant can be a daunting task, given the variety of options available in the market. Here are some of the essential criteria that you should consider before making a decision:
Accuracy and Precision
One of the most important criteria to look for in an AI coding assistant is its accuracy and precision. You want a tool that can identify and fix errors in your code without introducing new ones. The ideal AI coding assistant should be able to analyze your code and provide accurate suggestions for improvement. It should also be able to detect and correct common coding errors, such as syntax errors and undefined variables.
Integration with Development Environments
The next important criterion to consider is the integration of the AI coding assistant with your preferred development environment. You want a tool that seamlessly integrates with your coding environment, whether you use Visual Studio Code, Atom, or any other IDE. The tool should also support a wide range of programming languages, including popular ones such as Python, Java, and JavaScript.
User Interface and Ease of Use
Finally, the user interface and ease of use are important criteria to consider when choosing an AI coding assistant. The tool should have an intuitive interface that is easy to navigate, even for beginners. It should also provide clear and concise suggestions for improvement, without overwhelming you with too much information. Additionally, the tool should be easy to set up and configure, with minimal setup time required.
Customization and Personalization
Customization and personalization are also important factors to consider when choosing an AI coding assistant. The assistant should be able to adapt to your coding style and preferences, and provide suggestions that align with your coding practices. It should allow you to customize the suggestions it provides and let you add your own code snippets or macros that you use frequently. This will help increase your productivity, as you won’t have to type the same code repeatedly.
Frequently Asked Questions
What are AI coding assistants?
AI coding assistants are software tools that help developers write code more efficiently and accurately. They use artificial intelligence and natural language processing to understand the context of the code being written and suggest improvements, provide autocomplete suggestions, and even generate code snippets. They can help programmers write code faster, reduce errors, and improve code quality.
What is the best AI coding assistant?
The best AI coding assistant will depend on your specific needs and preferences. Some of the most popular options include Tabnine, Kite, and Codota. Each of these tools has its own unique features and capabilities, so it’s important to evaluate them carefully and choose the one that best fits your workflow and coding style.
What are the best AI code generators?
There are several AI code generators available, each with its own strengths and weaknesses. Some popular options include OpenAI’s Codex, Hugging Face’s DALL-E, and GPT-3. These tools use machine learning to generate code based on natural language input and can be useful for automating repetitive coding tasks, generating boilerplate code, and even generating entire programs.
Are AI coders better than human coders?
AI coders are not necessarily “better” than human coders, but they can be very helpful in certain contexts. AI coding assistants can help human coders write code more efficiently and accurately, reducing errors and improving code quality. However, AI coders are not creative thinkers and cannot replicate the intuition and expertise of a human programmer.
Are AI coding assistants worth it?
AI coding assistants can be worth it if you are looking to improve your coding efficiency and accuracy. They can save you time and reduce errors, leading to higher-quality code. However, they are not a magic solution and may not be appropriate for every task. It’s important to evaluate each tool carefully and determine whether it is a good fit for your workflow.
Is there a downside to using AI coding assistants?
One potential downside to using AI coding assistants is that they may make programmers overly reliant on automation and reduce their ability to write code from scratch. Additionally, some tools may be overly aggressive in suggesting changes, leading to frustration and wasted time. It’s important to use AI coding assistants as a tool to improve your coding, rather than as a replacement for your own expertise.
Can AI write code itself?
AI can write code itself, but it’s important to note that this is not the same as true creative thinking. AI is very good at generating code based on patterns and rules, but it cannot replicate the intuition and expertise of a human programmer. Additionally, the code generated by AI may not always be efficient or maintainable, so it’s important to review and edit any code generated by AI.
Is there AI that can write code?
Yes, there are several AI tools available that can write code based on natural language input or other inputs. Some of the most popular options include OpenAI’s Codex, Hugging Face’s DALL-E, and GPT-3. These tools can be very useful for automating repetitive coding tasks or generating boilerplate code.
Can an AI fix its own code?
AI can fix its own code, but it’s important to note that this requires significant training and development. A well-trained AI system may be able to detect and fix simple bugs or errors in its own code, but more complex problems will likely still require human intervention.
Can AI write Python code?
Yes, AI can write Python code. Python is a very popular language for AI and machine learning, so there are many AI tools available that are specifically designed to work with Python code. Some of the most popular AI coding assistants, such as Tabnine and Kite, support Python out of the box.
Final Thoughts
The best AI coding assistants of 2023 offer a range of powerful features and capabilities that can help developers write better code faster, with more accuracy and fewer errors. From Kite’s powerful autocomplete and code generation features, to Codiga’s ability to identify and fix bugs and security issues, to ChatGPT’s ability to understand and generate natural language code, each of these tools has something unique to offer.
Ultimately, the choice of which AI coding assistant to use will depend on a developer’s specific needs and preferences, as well as the particular programming language and framework they are working with. By leveraging the power of AI, developers can improve their productivity, efficiency, and overall coding experience, making it easier and more enjoyable to bring their ideas to life.
Recommended Resources
AI coding assistants are tools that use machine learning algorithms to help developers write better code. They can offer suggestions, automate repetitive tasks, and even identify potential bugs before they become major issues. But AI isn’t just limited to coding – it can also be used in a variety of other industries, such as finance, transcription, and art.
For example, AI stock trading bots are becoming more and more popular in the finance industry, as they can analyze vast amounts of market data and execute trades faster than any human ever could. And if you need to transcribe large amounts of audio or video content, AI transcription software can do the job quickly and accurately.
If you’re looking to get creative, AI can help with that too. AI art generators can create stunning pieces of art in a variety of styles, while AI music generators can compose original music in a range of genres. And if you need to add some voiceover to your videos, AI voice generators can do the job in a pinch.
Finally, AI can also be used to enhance existing media, such as images and videos. AI image upscalers can improve the quality of low-resolution images, while AI video enhancers can do the same for videos. And if you’re looking to create videos quickly and easily, AI video generators can do the job in a fraction of the time it would take to create them manually.
