Advanced artificial intelligence (AI) tools that can generate code to help programmers


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Thanks to AI technologies, the programming world is improving. As AI-generated code becomes more accurate, it’s only a matter of time until artificial intelligence replaces human programmers entirely.

Some may see this as a negative, while others think that AI will speed up the process of writing better code. In this article, we’ll talk about some of the AI ​​tools currently available to programmers and explore how they affect how we code.

Although the code generated by AI should still be flawless, it is always being improved. Even better than code created by humans, certain AI technologies can create code. This is a significant advance and shows how AI can be used to write better code faster.

Open the AI ​​Codex

GitHub Copilot is a tool from GitHub for producing code in collaborative development environments such as Neovim, VS Code, JetBrains and GitHub Codespaces, a GPT-3 based model powered by OpenAI Codex. It claims to be able to code in at least 12 different languages, including BASH, JavaScript, Go, Perl, PHP, Ruby, Swift and TypeScript. The algorithm is trained on trillions of publicly accessible lines of code in places like GitHub repositories.

Through a limited beta, OpenAI has made the model available to platform providers and developers to provide tools and integration.


Although Tabnin is not an end-to-end code generator, it does add integrated development environment (IDE) auto-completion capabilities. Jacob Jackson created Tabnin in Rust when he was a student at the University of Waterloo, and it has now grown into a full AI-based code completion tool.

More than 20 languages ​​and 15 editors are supported by Tabnin, including popular IDEs such as VS Code, IntelliJ, Android Studio, and Vim. A team of three developers can earn $432 per year.


SalesForce researchers have developed an open source programming language known as CodeT5. The T5 (text-to-text) framework from Google is the foundation. The researchers used approximately 8.35 million code examples from GitHub projects to train CodeT5. Most of these datasets come from the CodeSearchNet dataset, which includes two C and C# datasets from BigQuery, along with Ruby, JavaScript, Go, Python, PHP, and C and C#.


OpenAI’s Codex has competition in the form of Polycoder. Created by scientists at Carnegie Mellon University, the model is based on OpenAI’s GPT-2 and is trained on a 249 GB code base in 12 different programming languages. Polycoder’s creators claim that the software can write C exactly from any model, including codecs. Polycoder is one of the first open source code generators, although most code generators are not.


Kogram is a start-up from Berlin’s Y-Combinator incubator that employs data scientists and Python programmers to create code using Jupyter’s notebooks and SQL queries. English language queries written by data scientists can be transformed by the tool into sophisticated SQL queries with joins and grouping. It works with MySQL, SQLite, PostgreSQL and Amazon Redshift.

Cogram can be integrated with Jupyter notebooks by Python and Julia developers to automatically generate code. The tool can provide context code for a specific job based on the feedback. Even common Python modules like Matplotlib, Plotly or Seaborn can be used by data scientists to create visualizations.

GitHub Assistant Pilot

An AI tool called GitHub Copilot can help you code better. It can generate code for you and help you understand other people’s code. GPT-3 and OpenAI Codex power Github Copilot.

Programmers know there is always room for improvement. Finding time to do this can sometimes be a challenge. Here, AI-based techniques can be useful. AI technologies can help you write better code faster.


DeepCode is an AI-powered code review tool that analyzes your code and makes suggestions for improvement. Code completion, refactoring and sorting are among his many competencies. 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 get real-time code completions thanks to machine learning. For a fee, Kite offers premium services including advanced code analysis and optimization tools. Kit stands out from its competitors as it supports more than 16 languages ​​and 16 code editors. Kit’s regular updates make this machine-learning coding aid more reliable and economical than the competition.

Tab nine

An AI-powered code completion app called TabNine uses deep learning to provide potential code completions. This is done by taking one code and providing equivalent bits of code that can be used for the same issue. In addition to supporting over 50 programming languages, Tabnin is free.


The WordPress code generator CodeWP was created by Isotropic, which is us. This platform offers JS and PHP support and customized settings for popular plugins like WooCommerce and Master Page Builders. It is specially designed and developed for those who build WordPress websites.

CodeWP makes it easy to write complex queries, code shortcodes, and execute activities that take hundreds of minutes to hours. It is aimed at both developers and “non-technical” WordPress designers.


AskCodi is a comprehensive tool that uses AI to help programmers and developers create faster. It has various settings, from coding in different languages ​​to developing documents using pre-written code. It covers every development process from creating documentation to writing code! Additionally, you can create SQL queries from scratch and create multiple tests quickly. These different sets of features aim to improve workflow efficiency using AI to help all developers iterate and ship faster.


Kodiga is a static code analysis tool that works with many different platforms, IDEs, and other programs. It is a product that focuses mostly on security and allows for real-time automatic code correction. Basically, it’s a way to make sure your code is as efficient, secure, and clean as possible. The platform supports the most commonly used languages ​​including YML, JavaScript, typescript, ruby ​​and Java.

This will help you analyze the code you or your team has produced, but you’ll need help creating new code. So it is much faster and more efficient when it comes to shipping the manufactured product.

Visual Studio Intellicode

Microsoft IntelliCode is a product that enables AI-assisted coding. It is already integrated with Microsoft IDE from Visual Studio. It is compatible with Java, Python, JavaScript and TypeScript in Visual Studio Code and supports C# and XAML in Visual Studio.

This AI code completion tool is trained on 500,000 open source projects on GitHub with at least 100 stars. As a result, it can give you more intelligent recommendations based on the context and current code.


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

It allows you to further develop AI code completion skills. With PyCharm’s keyboard-centric design, you can complete your coding tasks faster and focus on more important tasks. It enables rapid maintenance, on-the-fly error checks, project navigation, and intelligent code completion.


AI technology handles your coding so you can use your brain to solve more difficult and important issues. An intelligent programming pair for your development team is called AIXcoder. It uses deep learning models trained using millions of lines of open source code. As a result, it can provide principles that are suitable for your situation. If you are concerned about data security and privacy, use the offline version to keep your code on your computer.

With the help of this code completion engine, you can do more in the development process with deep customization support for your team or company. Additionally, it compiles coding statistics to provide you with custom coding inspection criteria.


Want to create error-free software and deliver it on time? Then it’s time to use Ponycode to power up your team. With this method, you can develop code faster while maintaining the highest level of quality with the least amount of work.

You can start the application process in less than a minute after installation, which will be easier than ever. It helps you avoid tedious tasks by putting creativity and speed into high-quality code. Now you can create industry-grade software that is error- and bug-free and 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. Although it focuses on code auto-completion, it uses other capabilities like goto function, search and find, refresh and so on.

With its direct API, you can use it with a variety of 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

To quickly code in Python, you should use the smart editor Wing Pro. This editor analyzes static and dynamic code to provide excellent, context-sensitive recommendations. Additionally, it gives you a better editing experience with a smart error checking tool. The editor’s auto-completion functionality and built-in Python shells are both available. This tool includes a source assistant that updates regularly to provide online documentation, type information, and call suggestions. As you code, it also automatically inserts function and method parameters. Wing Pro allows you to navigate the call and accurately place your entries.

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Pratamesh Engel is a mechanical engineer and works as a data analyst. He is also an AI expert and certified data scientist with an interest in AI applications. He is passionate about exploring new technologies and developments with their real-life applications.

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