Top AI Tools and Assistants for Software Developers for 2024

Dec 19, 2023 ·

The best AI coding tools for developers are those that enable them to develop and deploy intelligent applications quickly and efficiently. These tools can range from natural language processing (NLP) frameworks to computer vision libraries, machine learning (ML) libraries, deep learning (DL) frameworks, and more.

Some of the most popular AI coding tools available today include TensorFlow, Keras, PyTorch, OpenCV, and Scikit-learn. TensorFlow is an open source ML library used in a variety of applications, such as image and video recognition, natural language processing, and autonomous vehicles. Keras is an open source deep learning framework built on top of TensorFlow, which has become the de facto DL library for many developers. PyTorch is a DL library developed by Facebook, which provides powerful GPU acceleration for deep learning tasks. OpenCV is a popular library for computer vision development, and is used for object detection, facial recognition, and augmented reality. Finally, Scikit-learn is a powerful open source library for ML applications, including regression, classification, clustering, and more.

These tools can be used together, or separately, depending on the type of task being worked on. For example, if an AI application needs to process images and videos, then OpenCV and TensorFlow could be used together. However, if an AI application requires natural language processing, then Keras and TensorFlow might be used together.

In addition to the frameworks and libraries mentioned above, there are also several other AI coding tools available today, such as Apache Spark, Caffe2, MXNet, and more. Developers can also use cloud services such as Amazon’s AWS and Microsoft’s Azure to easily deploy their AI applications.

Overall, AI coding tools provide developers with a wide variety of options for quickly and efficiently developing and deploying intelligent applications. By leveraging these tools, developers can create powerful and useful AI applications that can solve complex problems, recognize visual cues, process natural language, and more. With access to these tools, developers can take advantage of the latest advancements in AI technology and create powerful applications more efficiently than ever before.