Best AI Coding Assistants

published July 12, 2023 - updated December 29, 2023

In our rapidly digitizing world, the demand for software developers is growing exponentially. Alongside this, the complexity and variety of coding tasks are escalating as well. The result is a continual, almost insurmountable pressure on developers to maintain high levels of productivity and innovation. This is where Artificial Intelligence (AI) steps in, making a significant difference.

AI coding assistants have emerged as indispensable allies in the field of software development. These intelligent software tools harness the power of AI to augment the capabilities of developers, taking care of mundane coding tasks, identifying and fixing bugs, suggesting efficient code snippets, and even predicting development requirements. As such, they not only enhance productivity and accuracy but also improve the overall coding experience. By relieving the burden of repetitive tasks, these AI assistants allow developers to focus more on creative problem solving and innovation, adding immense value to the software development process. In essence, AI coding assistants are transforming the software development landscape, making them an absolute necessity in the modern world.

Reviewing Best AI Coding Assistants

In 2024, numerous AI coding assistants are still vying for the attention of developers. These software tools, powered by advanced AI technologies, offer diverse features to aid in coding, debugging, and exploring new programming paradigms. They have evolved to become an integral part of the developer’s toolkit, adding significant value in improving code quality, efficiency, and maintenance, and even offering programming homework help.

Different AI coding assistants shine in different areas. Some excel in providing accurate code suggestions, while others are particularly efficient at finding and fixing bugs. Some assistants stand out for their capability to understand the developer’s context and provide relevant solutions, while others impress with their ability to learn from the developer’s behavior and continually improve their assistance over time.

In the next sections, we’ll delve into the unique qualities, capabilities, and features of the top six AI coding assistants that have made a splash in 2023, and continue to transform coding of 2024 into a more manageable, efficient, and innovative process. Each of these AI tools has been recognized for its exceptional performance and accuracy, which have proven instrumental in enhancing coding productivity.

The Go-To AI Coding Assistants

As artificial intelligence continues to revolutionize the field of software development, numerous AI coding assistants have sprung up on the internet, each promising to augment the developer’s capabilities. While having plenty of options is great, it can also be overwhelming. Luckily, the folks at Sitepoint have done the legwork and compiled a list of the top six AI coding assistants that have proven themselves to be game-changers in programming world. Topping this list is GitHub Copilot, an AI-powered coding assistant that has been transforming the coding landscape with its impressive features and capabilities.

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GitHub Copilot

A screenshot of the GitHub Copilot homepage from the list of top ai coding tools

GitHub Copilot, a collaboration between GitHub and OpenAI, is an AI-driven coding assistant that utilizes the powerful GPT model by OpenAI. Trained on a vast corpus of publicly available code, it analyzes the context and patterns of the code you’re working on to suggest completions. Whether it’s a single line, a function, or even multiple lines of code, Copilot is there to aid you, dramatically enhancing productivity and improving code quality.

Pricing-wise, Copilot is free for verified students, teachers, and open-source project maintainers. However, if you don’t fit into any of these categories, a monthly fee of $10 applies.

GitHub Copilot shines in debugging, troubleshooting, prototyping, rapid development, and exploring new technologies. It’s an excellent tool for any developer looking to enhance their coding experience and productivity.

The Good
  • Productivity booster
  • Quality improvement
  • Language support
The Bad
  • Code dependency
  • Limited customization
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A screenshot of the Tabnine homepage from the list of ai coding tools

Tabnine is a smart coding tool that leverages artificial intelligence to understand and predict the code you’re writing. By studying millions of code snippets, Tabnine can accurately guess what you’re trying to write and provide suggestions to help you complete your code more quickly. Its versatility is another key feature, as it is compatible with various programming languages, allowing developers to use it regardless of the programming language they’re working with.

This tool also puts a high value on privacy, with an option for developers to train the AI model using their own private code. This feature means you can guide the AI’s learning process using the specific code you want it to understand, making the predictions even more accurate for your specific use-case.

The Good
  • Context-aware suggestions
  • High language compatibility
  • Offers quick, real-time code completion
  • Prioritizes privacy with a dedicated local-mode
The Bad
  • Only relies on Internet connection
  • Experiences difficulties with complex code scenarios
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A screenshot of the Codeium homepage from the list of ai coding services

Codeium is a relatively new addition to the world of AI coding assistants. Despite being new, it has proven to be a robust tool, offering support for more than 70 programming languages. This support allows you to use Codeium for various projects, no matter what programming language they are based on.

One of Codeium’s primary features is its ability to reduce repetitive coding work. It scans your code, understands repetitive patterns, and then writes these repetitive parts for you. This feature can dramatically increase your productivity by enabling you to focus on the unique, complex parts of your code.

Being an open-source project, Codeium encourages contributions from the coding community, leading to frequent updates and improvements. It also prioritizes privacy by being self-hosted, meaning your data is kept within your environment and not sent to any external servers.

The Good
  • Wide range of programming languages
  • Enhances productivity
  • Open-source community
  • Self-hosted
The Bad
  • Inconsistent bug fix frequency
  • Incompatibility with VS Code extensions
  • Lack of in-built telemetry features
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A screenshot of the CodeGeeX homepage

CodeGeeX is an advanced, multilingual AI coding assistant, designed with a primary goal to help developers write more code in less time. It has been pre-trained on numerous code examples from over 30 programming languages, using a cluster of Ascend 910 AI processors, which are among the most powerful AI processors in the world.

One of the key features of CodeGeeX is its operation modes. It offers four modes: stealth, prompt, interactive, and translation. The translation mode is especially impressive, capable of translating your code from one language to another seamlessly. Imagine being able to write code in Python and having it accurately translated into Java or any other supported language!

Despite its advanced features, CodeGeeX is free and is readily available as a VS Code extension, making it easily accessible to developers around the globe.

The Good
  • Supports more than 30 languages
  • Translation modes for international users
  • Enhances productivity
  • Self-hosted
The Bad
  • Small userbase for bug fixes
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Visual Studio IntelliCode

A screenshot of the Visual Studio IntelliCode homepage

Developed by Microsoft, Visual Studio IntelliCode is an AI-powered coding assistant that uses machine learning to analyze and learn from a vast array of code repositories, including many open-source projects on GitHub. This knowledge allows it to offer highly relevant suggestions to developers as they write code, thereby improving efficiency and reducing errors.

IntelliCode is designed to recognize common coding tasks, suggesting and even completing these tasks as you write your code. With its multilingual support, customization options, and context-aware recommendations, IntelliCode aims to boost productivity and efficiency for developers.

The tool comes free with a generous free tier, but there may be future charges for certain features. However, Microsoft has committed to keeping the core functionality free for all users.

The Good
  • Customizable suggestions to the user’s coding style
  • Seamless integration with Visual Studio
  • Context-aware suggestions for code accuracy
  • Self-hosted
The Bad
  • Possibility of false positives or irrelevant suggestions
  • Suitable for developers using the Microsoft ecosystem
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A screenshot of the Sourcery homepage

Sourcery is an AI-powered coding assistant that specializes in Python and JavaScript, designed to enhance code quality and automate repetitive coding tasks. It offers advanced refactoring capabilities, suggesting improvements and optimizations to your code and helping to identify potential bugs and performance issues.

A unique aspect of Sourcery is its ability to thoroughly analyze code, providing intelligent suggestions for automated refactoring and optimization based on best practices. This allows developers to focus on creative problem solving while leaving tedious tasks to Sourcery.

Sourcery comes with a free plan, but to enjoy all its benefits, you can opt for the Pro package at $12/month or the Teams package at $24/month.

The Good
  • Customizable templates
  • Code consistency
  • Processes integrations for automatic code generation
The Bad
  • Poor complex and customizable code generation templates
  • Limited coding languages support


In today’s tech-saturated world, AI coding assistants are invaluable tools for developers. This article discusses four such tools: CodeGeeX, Visual Studio IntelliCode, and Sourcery, each offering unique features to improve coding efficiency and quality.

CodeGeeX, with its extensive language support and code translation capabilities, brings versatility and productivity enhancements to coding. IntelliCode, with its learning algorithms, integration with Visual Studio, and context-aware suggestions, helps reduce errors and improves the speed of coding. Sourcery, specializing in Python and JavaScript, automates repetitive tasks and aids in enhancing code quality with its intelligent refactoring and optimization suggestions.

Despite their individual pros and cons, all three tools aim to increase productivity, improve code quality, and make coding more enjoyable for developers. Importantly, they all prioritize user privacy, ensuring that your code remains your own. Using these AI-powered coding assistants can greatly enhance your coding experience and productivity, making them essential tools for developers in 2024.

Choosing the Top AI Coding Assistants: A Buyer’s Guide

When deciding on the best AI coding assistant, there are several key considerations to keep in mind. The selected tool should cater to your specific needs, including your preferred coding languages, level of experience, and the tasks you regularly perform. It should also integrate well with your existing workflow, offer an affordable pricing structure, and prioritize support and security to safeguard your code.


Your choice should be dictated by your unique requirements. Are you primarily looking for coding suggestions, debugging assistance, or code refactoring? Some AI assistants are tailored for rapid prototyping, while others excel in optimization or translation between languages. Understand what you need before making a choice.

Accessibility & Ease of Use

The best AI coding assistants should be user-friendly, require minimal setup, and work seamlessly within your existing environment. They should be readily accessible, preferably as extensions of popular code editors, and easy to use even for beginner developers.

Coding Languages

The language support of the AI assistant is crucial. Some specialize in specific languages, like Python or JavaScript, while others support multiple languages. Choose an AI assistant that aligns with your coding language preferences and requirements.


The AI assistant should integrate seamlessly with your preferred code editors or IDEs, such as Visual Studio or Atom, and it should work well with other developer tools you frequently use. It should also ideally fit into your development workflow with minimal disruption.


AI coding assistants often come with a free tier but consider the costs of premium features. Some tools charge monthly or annually for additional capabilities. Make sure the cost is within your budget and commensurate with the benefits it provides.

Support and Security

Lastly, prioritize tools that offer robust support for troubleshooting and updates, and those that take security seriously. Your AI assistant should safeguard your code, not expose it, and no code should be sent back to the company without your knowledge and consent. The best tools keep your code private and secure.

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Which is the best AI code assistant?

The “best” AI code assistant depends on your specific needs, but GitHub Copilot, Tabnine, Codeium, CodeGeeX, Visual Studio IntelliCode, and Sourcery are some of the top choices in 2024.

Is there a free AI for coding and programming?

Yes, there are free AI coding and programming tools available. GitHub Copilot, for instance, is free for students, teachers, and open-source project maintainers. Other tools like Tabnine and Sourcery also have free plans.

Will AI replace programmers 2024?

As of 2024, AI has not replaced programmers. While AI can assist with coding tasks, it currently cannot match human developers in areas such as abstract thinking, creative problem solving, and understanding specific business needs.

Will coding be done by AI in the future?

AI is expected to automate certain aspects of coding in the future, particularly repetitive or mundane tasks. However, it is unlikely that AI will completely replace human programmers, as coding also requires creativity, intuition, and understanding of complex business problems.

Will AI replace programmers in 5 years?

It’s hard to predict with certainty, but in the next 5 years, it is unlikely that AI will fully replace programmers. AI is expected to assist programmers in automating repetitive tasks and enhancing productivity, rather than completely replacing them.

Which AI helps in coding?

AI tools that help in coding include GitHub Copilot, Tabnine, Codeium, CodeGeeX, Visual Studio IntelliCode, and Sourcery.

Can AI write Python code?

Yes, AI can write Python code. For instance, GitHub Copilot and Sourcery are capable of suggesting and generating Python code snippets based on the context.

What is most AI coded in?

Most AI algorithms are coded in a variety of languages, with Python being one of the most popular due to its simplicity and the extensive libraries it offers for machine learning and AI, like TensorFlow and PyTorch. Other languages used in AI development include Java, C++, and R.

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