The Best 9 Coding Tools Powered by AI

Are you tired of writing endless lines of code for simple programs? Say hello to the future of software development—artificial intelligence (AI)! No longer do you have to spend hours writing code for simple programs. With AI, you can streamline the development process and focus on the more creative aspects of programming. 

Are you in search of the top AI-based coding tools? This article will present you with a selection of highly effective coding tools driven by AI that can assist you in saving time and effort on your coding projects. 

1. OpenAI Codex

OpenAI Codex is an AI system that can convert natural language into programming code. It was created by OpenAI, the company behind ChatGPT, which uses massive datasets and robust neural networks—programs that are somewhat modeled after neurons in the human brain, to create its AI systems. 

With expertise in over a dozen programming languages, Codex has the ability to understand basic instructions written in natural language and implement them on behalf of the user. This means that it can create a natural language interface for existing software applications.

OpenAI Codex is based on GPT-3 and its training data, which includes natural language and billions of lines of source code from public GitHub repositories. It excels in Python but can also work with more than a dozen other programming languages such as JavaScript, Go, Perl, and Ruby. Compared to GPT-3, Codex has a larger memory of 14KB for Python code, which allows it to consider more contextual information while executing tasks.

Programming languages serve as a means of communicating with computers, and Codex can be thought of as a level-n language that facilitates this communication. Like the best collaboration software, this represents a step closer to the larger goal of achieving a symbiotic relationship between humans and machines.

2. Visual Studio Intellicode

Visual Studio IntelliCode is an AI-powered tool that offers smart development features for developers working with Python, TypeScript/JavaScript, and Java within the Visual Studio Code platform. It uses machine learning to provide context-aware insights and suggestions, resulting in more accurate and consistent coding. 

Although the phrase “AI” is commonly used, it is actually machine learning that powers automation. Machine learning is a division of AI that entails computers learning and performing tasks without being explicitly programmed. As a result, when discussing AI, we are specifically referring to this component of it.

Nowadays, machine learning is employed in diverse applications. One of the most popular instances of machine learning at work is the recommendation engine that fuels Facebook’s news feed.

IntelliCode operates locally on your machine, ensuring that your code remains private and secure. It offers AI-powered assistance with IntelliSense by providing developers with a contextual list of options, based on its current code patterns and context, instead of a static alphabetical list of methods or properties.

3. Tabnine

Tabnine is a code completion software that uses AI to assist developers worldwide. It can help developers of all levels to write code twice as fast with fewer keystrokes, directly within their preferred integrated development environment (IDE).

Tabnine founders believe that the forthcoming software development will be a fusion of developers and AI. There will be no domination between the two, but rather a perfect harmony between human intelligence and AI. The developer will steer the course, while the AI will provide the necessary details.

Tabnine proposes code completions that are in line with your coding style, ensuring cohesive and consistent code. This feature helps reduce the need for time-consuming code review iterations. By staying within the editor, developers can stay focused on business problems and avoid the need to constantly switch contexts, search for code examples, or refer to internal documentation.

Tabnine offers two pricing options: The first one is completely free. The second plan costs $12 per month but offers advanced suggestions beyond the first plan. The Pro version can suggest entire lines of code. 

4. Codiga

Codiga provides an overview of the quality of your code by displaying essential metrics on its dashboard. The dashboard highlights the number of code violations, duplicates, and long and complex functions in your code, giving you a comprehensive understanding of your code’s overall quality.

By using the Codiga coding assistant, companies can save significant time in software development by rapidly creating, discovering, and importing secure and trustworthy reusable code blocks. This tool allows for the swift creation of code components that can be reused safely, resulting in hours of time saved. 

Codiga is a tool that offers several key features to assist developers in the code review process. One of its most notable capabilities is its advanced code analysis, which employs cutting-edge techniques to identify issues and security vulnerabilities in code. Another significant benefit of using Codiga is its support for multiple programming languages, making it an ideal tool for teams that work with diverse technology stacks.

Codiga also provides customizable rule sets, allowing users to enforce specific coding standards and security policies. This feature empowers developers to establish and adhere to standards that are unique to their organization or project. Codiga can also automate many aspects of code review, reducing the time and effort required for manual review. This feature helps developers quickly identify potential issues and vulnerabilities in their code, streamlining the development process and improving overall code quality.

AI systems like Codiga are engineered to achieve the best results, with no room for human errors and a faster production rate. AI coding tools like Codiga not only boost productivity and minimize human errors, but they also reduce downtime caused by tedious tasks like debugging and testing.

5. Pycharm 

PyCharm is a popular IDE that is used by many developers for Python programming. The IDE was developed by JetBrains, a company that is known for its high-quality development tools.

One of the key features of PyCharm is its intelligent code completion, which provides suggestions for code as you type. This feature saves a lot of time and effort, especially for beginners who are still learning the language. PyCharm’s on-the-fly error highlighting and code inspections are also very helpful for identifying and fixing errors in your code.

Another useful feature of PyCharm is its automated code refactorings, which can help you improve the structure and readability of your code. The program also offers extensive navigation capabilities, making it easy to find and jump to different parts of your codebase.

PyCharm’s support for web development is also noteworthy. The IDE includes features like a built-in web server, support for popular web frameworks like Django and Flask, and integration with popular front-end tools like JavaScript, CSS, and HTML.

In addition, PyCharm also offers advanced tools for data science, including support for popular data science libraries like NumPy, Pandas, and Matplotlib. The program includes features like interactive consoles, variable explorers, and debugging tools to help data scientists debug and explore their code.

Finally, PyCharm is available in both community and professional editions, making it accessible to developers at all levels. The professional edition includes advanced features like remote development, database tools, and support for advanced web frameworks like Pyramid and Google App Engine. 

6. AskCodi

AskCodi is a powerful tool that can simplify the software development process and save developers valuable time. It is an easy-to-use, highly customizable software development kit that has been built with developers in mind. With over 50 languages to choose from, AskCodi makes it easy to generate code, tests, and documentation for your project.

The platform is designed to minimize the occurrence of repetitive tasks and speed up the software development process. It provides developers with tools to accelerate development by allowing them to ask Codi AI questions related to coding, explaining code, documenting code, or testing code. The specialized applications, such as scientific analysis and data science, are particularly useful to developers who encounter difficulties in finding answers online.

AskCodi is an ideal tool for enterprise developers, teams, and anyone who codes. It provides an innovative approach to development and helps developers stay organized and efficient throughout the software development process. With its customizable interface and powerful features, AskCodi is a valuable addition to any development team’s toolkit.

7. Jedi 

Jedi is a powerful tool for static analysis in Python, which is primarily used as a plugin in different integrated development environments (IDEs) and code editors. It is focused on providing reliable and intelligent autocompletion, along with other features such as refactoring, code search, and finding references. Jedi’s primary goal is to help Python developers write code more efficiently and with fewer errors.

One of the significant advantages of Jedi is its user-friendly API, which allows developers to use Jedi’s features programmatically. This makes it easier to integrate Jedi with other tools and build custom features on top of Jedi’s functionality.

Jedi’s autocompletion feature provides suggestions for code as you type, based on the context in which the code is being written. This feature is useful for reducing the time and effort required for coding and also helps to avoid syntax errors.

Jedi’s go-to functionality is another powerful feature that allows developers to navigate through their code more easily. With Jedi, you can quickly jump to the definition of a function or a variable, even if it is in a different file.

Jedi also offers search and find capabilities, making it easier to locate specific code blocks or functions within a large codebase. Its refactoring feature allows developers to quickly and easily restructure their codebase for better organization and readability.

Jedi’s flexibility and compatibility with other plugins and language servers make it a valuable tool for developers. It can work alongside different editors, IDEs, and software. Jedi is also compatible with Python shell and IPython, making it a great choice for interactive coding sessions.

8. Ponicode 

Ponicode is an innovative extension pack that leverages artificial intelligence (AI) to automate the creation of unit tests. It provides a simple graphical interface and uses machine learning algorithms to generate test scenarios, allowing developers to quickly and easily create, visualize, and execute unit tests for their functions.

Ponicode is designed to help developers enhance the reliability of their code by identifying which functions require the most testing. By focusing on these functions, developers can ensure that their code is thoroughly tested and defects are discovered early in the development process.

One of the key advantages of Ponicode is its ability to simplify the repetitive and time-consuming aspect of unit testing. Ponicode automatically creates the test file for you and suggests suitable inputs for your test scenarios. This not only saves time but also makes it easier for developers to expand and maintain their code coverage over time.

Ponicode’s machine learning algorithms can also adapt to your specific codebase, allowing it to generate tests that are tailored to your code’s unique structure and requirements. This means that Ponicode’s tests are more efficient and accurate than traditional manually created tests.

Ponicode is an excellent tool for agile teams that need to deliver high-quality code quickly. By automating the unit testing process, developers can focus on delivering great features to their users and not get bogged down with tedious testing tasks. 

9. Wing Python

The Wing Python IDE was designed exclusively for Python and was intended to enhance the efficiency of the development process. By using Wing, you can reduce the amount of typing required and allow the software to handle the details. Additionally, you can receive immediate feedback by interactively writing your Python code in the live runtime.

The tool allows you to debug any Python code promptly. It can also analyze debug data and experiment with potential bug fixes interactively, all without having to restart your application. You can work on a local machine or on a remote host or virtual machine.

Wing’s intelligent editor offers auto-completion, syntax highlighting, and code folding capabilities, enabling developers to write code more efficiently and with fewer errors. The IDE’s powerful search and navigation tools make it easy to quickly locate specific lines of code, functions, or classes, thereby saving time and improving code readability. 

The powerful debugger, which includes features such as code stepping, variable inspection, and breakpoints, is an essential tool for identifying and fixing bugs in Python code. Wing also provides built-in support for popular testing frameworks, making it easy to write and run tests within the IDE. 

Will AI replace developers?

Many developers are concerned about the possibility of being replaced by AI. However, the current state of AI technology is not advanced enough to produce lengthy, production-ready code in the near future. The intricate nature of software development necessitates the seamless integration of several elements to form a functional product, which is a complex task that requires human expertise.

Despite considerable progress in AI technology, it is unlikely to replace humans in software development anytime soon. Therefore, human expertise remains essential in software development, and AI is more likely to work alongside humans to enhance their work rather than replace them.

Revolutionizing Programming with AI-Powered Tools

The implications of artificial intelligence are wide-ranging, as it can solve some problems while also giving rise to new ones. However, when it comes to software development and programming, AI will certainly change the game. This means we’ll have more of these cool AI-driven resources available that will make coding tasks easier and smoother. This development also has the potential to revolutionize the way we approach programming in the years to come.