Top Artificial Intelligence (AI) Tools That Can Generate Code To Help Programmers (2024)

The world of programming is evolving thanks to AI technologies. It is just a matter of time until artificial intelligence entirely replaces human programmers since AI-generated code is getting more accurate.

Some could see this negatively, while others think AI will speed up the process of writing better code. In this article, we’ll talk about some of the AI tools that are presently accessible to programmers and examine how they’re affecting how we create code.

Although AI-generated code still needs to be flawless, it is always improving. Even better than code created by humans, certain AI technologies can generate code. This is a significant advance and demonstrates how AI may be used to write better code more quickly.

OpenAI Codex

GitHub Copilot, a tool from GitHub to produce code inside common development environments such as Neovim, VS Code, JetBrains, and even in the cloud with GitHub Codespaces, is powered by OpenAI Codex, a model based on GPT-3. It claims it can write code in at least 12 different languages, including BASH, JavaScript, Go, Perl, PHP, Ruby, Swift, and TypeScript. The algorithm is trained on trillions of lines of publicly accessible code from places like GitHub repositories.

Through a limited beta, OpenAI made the model accessible to platform providers and developers so they could provide tools and integration.


Although Tabnine is not an end-to-end code generator, it amps up the integrated development environment’s (IDE) auto-completion capability. Jacob Jackson created Tabnine in Rust when he was a student at the University of Waterloo, and it has now grown into a complete AI-based code completion tool.

More than 20 languages and 15 editors are supported by Tabnine, including well-known IDEs like VS Code, IntelliJ, Android Studio, and even Vim. A team of three developers may get it for $432 a year.


Researchers at SalesForce created the open-source programming language paradigm known as CodeT5. The T5 (Text-to-Text Transfer Transformer) framework from Google is its foundation. The researchers used approximately 8.35 million instances of code, together with user comments, from openly available GitHub projects to train CodeT5. The bulk of these datasets was obtained from the CodeSearchNet dataset, containing two C and C# datasets from BigQuery, along with Ruby, JavaScript, Go, Python, PHP, and C and C#.


OpenAI’s Codex has a competition in the form of a Polycoder. The model, created by scientists at Carnegie Mellon University, is based on OpenAI’s GPT-2, which was trained using a 249 GB codebase developed in 12 different programming languages. The creators of PolyCoder claim that the software can write C more precisely than any other model, including Codex. Polycoder is one of the earliest open-source code-generating models, even if most code generators are not.


Cogram is a startup from Berlin’s Y-Combinator incubator that creates code for data scientists and Python programmers using Jupyter Notebooks and SQL queries. English-language queries may be written by data scientists and converted by the tool into sophisticated SQL queries with joins and grouping. It works with MySQL, SQLite, PostgreSQL, and Amazon Redshift.

Cogram may be integrated with Jupyter Notebooks by Python and Julia developers to automatically produce code. The tool may provide contextual code for a particular job based on the remarks. Even common Python modules like Matplotlib, Plotly, or Seaborn may be used by data scientists to create visualizations.

GitHub Copilot

An AI tool called GitHub Copilot may assist you in producing better code. It can create code for you and aid in your comprehension of other people’s code. GPT-3 and OpenAI Codex power Github Copilot.

Programmers are aware that there is always room for improvement. Finding the time to do so might be challenging at times. Here, AI-based techniques may be useful. AI technologies may assist you in writing better code more quickly.


DeepCode is a code review tool powered by AI that examines your code and makes suggestions for improving it. Code completion, refactoring, and lining are among its many capabilities. For open-source projects, DeepCode is free, while a premium membership is available for private enterprises.


For Python, Kite is a free AI-powered code completion tool. You will get real-time code completions thanks to machine learning. For a fee, Kite also provides access to premium services, including sophisticated code analysis and refactoring tools. Kite stands out from the competitors since it supports more than 16 languages and 16 code editors. The regular updates to Kite make this machine-learning code aid more dependable and economical than the competition.


An AI-powered code completion application called TabNine employs deep learning to offer possible code completions. This is accomplished by taking a piece of code and then offering comparable bits of code that may be used for the same issue. In addition to supporting more than 50 programming languages, TabNine is free.


The WordPress code generator CodeWP was created by Isotropic, which is who we are. This platform offers JS and PHP support and settings tailored to well-known plugins like WooCommerce and major page builders. It is particularly designed and optimized for those who construct WordPress websites.

CodeWP makes it simple to write sophisticated queries, produce shortcodes, and finish activities that would normally take hundreds of minutes to hours to precisely accomplish. It is aimed at both developers and “nontechnical” WordPress designers.


AskCodi is a comprehensive toolkit that uses AI to assist programmers and developers in creating more quickly. It has a variety of settings, ranging from producing code in several languages to making documentation using already written code. It covers every development process, from creating documentation to writing code! Additionally, you may create SQL queries from scratch and create several tests quickly. These various feature sets aim to improve workflow efficiency by using AI to assist all developers in iterating and shipping quicker.


Codiga is a tool for static code analysis that works with many different platforms, IDEs, and other programs. It is a product that focuses largely on security and allows for real-time automatic code correction. In essence, it’s a technique to guarantee that your code is as efficient, safe, and clean as possible. The platform supports the most widely used languages, including YML, JavaScript, typescript, ruby, and Java.

This will assist you in analyzing existing code that you or your team has produced, but you need help to create new code. So when it comes to sending a manufactured product, it is a lot faster and more effective.

Visual Studio IntelliCode

Microsoft’s IntelliCode is a product that allows AI-assisted coding. It is pre-integrated with Visual Studio, a Microsoft IDE. It is compatible with Java, Python, JavaScript, and TypeScript in Visual Studio Code, while it supports C# and XAML in Visual Studio.

This AI code completion tool, was trained on the codes of 500,000 open-source projects on GitHub that have at least 100 stars. As a result, it can provide you with wiser recommendations while considering the context and present code.


Want to work more efficiently while creating the most complex software? Utilize PyCharm, an integrated programming environment designed specifically for Python programmers.

It allows you to further develop the AI code completion capability. With PyCharm’s keyboard-centric design, you may complete your coding tasks faster and concentrate on more essential tasks. It enables rapid repairs, error checks while moving, smooth project navigation, and intelligent code completion.


AI technology handles your codes so you may utilize your brains to address more difficult and important issues. An intelligent programming pair for your development team is called AIXcoder. It employs deep learning models trained using millions of lines of open-source code. As a result, it may provide principles suited to your situation. Use the offline version to keep your code secure on your computer if you are worried about data security and privacy.

You may accomplish more throughout the development process with the help of this code completion engine’s support for individualized deep customization for your team or company. Additionally, it compiles coding statistics to provide you with custom code inspection criteria.


Do you want to create software that is free of errors and deliver it on time? Then, it’s time to use Ponicode to empower your team. With this method, you can develop code more quickly while still keeping the highest level of quality with the least amount of work.

After less than a minute of installation, you may start the app creation process, which will be easier than it was. It will assist you in getting rid of tedious operations by balancing creativity and quickness with high-quality coding. You may now create industrial-grade software free of bugs and faults and with future-proof code. This solution is free to use with Java, Python, JavaScript, and TypeScript programming languages.


Another open-source option on this list of AI code completion solutions is Jedi. It is mostly a plugin for Python static analysis tools for IDEs and editors. It uses its other capabilities, like goto functionality, search and find, refactoring, and so on, even though it concentrates on code auto-completion.

With its straightforward API, you may use it with various editors and projects, including Visual Studio Code, Sublime Text, Vim, Emacs, Kate version 4.13 and above, Atom, GNOME Builder, Gedit, and IPython.

Wing Pro

You should use the clever editor Wing Pro to quickly code in Python. This editor examines static and dynamic code to provide excellent, context-relevant recommendations. Additionally, it offers you a better editing experience with a clever error-checking tool. The editor’s auto-completion functionality and built-in Python shells are both available. This tool includes a Source Assistant that constantly updates to provide inline documentation, type information, and call suggestions. As you code, it also automatically inputs function and method parameters. Wing Pro also allows you to browse the invocation and appropriately put your parameters.

Don’t forget to join our Reddit page and discord channel, where we share the latest AI research news, cool AI projects, and more.

Prathamesh Ingle is a Mechanical Engineer and works as a Data Analyst. He is also an AI practitioner and certified Data Scientist with an interest in applications of AI. He is enthusiastic about exploring new technologies and advancements with their real-life applications

🐝 Join the Fastest Growing AI Research Newsletter Read by Researchers from Google + NVIDIA + Meta + Stanford + MIT + Microsoft and many others...