7 Useful Tools for AI Development

Last Updated on 2025-03-09

If you’re looking to get into AI development, it’s crucial to use the right programming languages and tools. In this post, we’ll look at some of the best software development tools for artificial intelligence.

Artificial intelligence ranks among the most rapidly growing fields in technology today. As businesses and individuals increasingly rely on AI-powered services and products, the demand for skilled developers continues to rise.

Software developers need the right tools to produce cutting-edge results.

Tools for AI Development That You Can Use

Software development is a set of processes that synergize to create a holistic product. Here’s a list of different AI tools with details on how they’re used in development:

IDE (Integrated Development Environment) Tools for AI

One of the most important tools for AI development is an IDE. An integrated development environment is a software application that provides a comprehensive set of features to help developers write and debug code. Some of the best IDEs for AI development include Visual Studio Code, PyCharm, and Eclipse.

Visual Studio Code

This lightweight source code editor works on desktops via the Mac, Windows, or Linux platforms. It boasts a rich pool of libraries and extensions that you can use for development. VS Code has built-in support for Node.js, TypeScript, and JavaScript.

VS Code Tools for AI is a cross-platform extension for VS Code. It allows developers to use deep-learning frameworks like TensorFlow and CNTK.

PyCharm

PyCharm is an IDE dedicated to Python development. As such, it provides a convenient environment and essential tools for “snake charmers.” It’s a popular IDE in artificial intelligence because Python is used for data science and machine learning.

Eclipse

Another popular AI-friendly IDE is Eclipse. It mainly offers an appealing development environment for Java coders. Java is also a great programming language that’s powerful enough to build AI-based apps.

Just like VS Code and PyCharm, Eclipse hosts tools and extensions for AI development.

Machine Learning Tools and AI Frameworks

Another essential tool for AI software development is a deep-learning platform. These software applications help developers build and train machine learning models. Some of the best machine learning platforms include TensorFlow, Keras, scikit-learn, and PyTorch.

TensorFlow

Google’s TensorFlow is a free open-source library that’s popular among AI developers. It has a wide range of features but mainly focuses on training deep neural networks. While TensorFlow uses Python, it requires C++ to boost performance.

Keras

Like TensorFlow, Keras is a free open-source library used for AI development. To its core, it’s an API (application programming interface) that provides backend support for TensorFlow. World-famous websites like Yelp, Netflix, and Uber use Keras.

scikit-learn

This is another free Python-based library for coding artificial intelligence software. Although the lack of uppercase letters makes it hard to write about scikit-learn, this library supplies algorithms that help software perform data classification, regression, and clustering. These functions add machine learning capabilities to programs.

PyTorch

PyTorch is yet another machine learning framework based on both Python and the Torch library. The main goal of this framework is to speed up the prototyping process in deep-learning research.

Learning Resources and Communities

Finally, it’s essential to have a full understanding of data structures and algorithms. Structures organize data in ways that make it easy to retrieve and manipulate. Algorithms are sets of instructions that solve problems. Some of the best resources for real intelligence on AI data structures and algorithms include:

• Coursera
• DataCampC
• Udacity

Each platform offers a variety of materials that can help you understand artificial intelligence concepts better. Software developers also flock to different communities for AI development assistance. These are some of the top software developer communities on the interwebs today:

• GitHub
• Stack Overflow
• Hackernews
• Hackernoon
• Women Who Code
• Reddit

Version Control System Tools

One crucial tool that AI developers often overlook is a version control system (VCS). These software applications enable developers to track changes to their codebase and manage different versions of their code. Some of the best systems for AI development include Git, BitBucket, and Mercurial.

These are just a few of the many software development tools that are available for AI coders. By using the right tools, any software developer can boost efficiency and produce better results.

At the same time, every project is different. It pays to do your own research and find the best tools for your purposes. From there, you can start building amazing AI-powered products and services!

Build Your AI Product Today!

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