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Google Bard Can Generate and Debug Code in 20 Programming Languages

Google Bard Debug Code in 20 Programming Languages

Google’s AI-based chatbot Bard has recently gained popularity in the programming community for its ability to generate, debug, and explain source code in 20 programming languages, including popular ones such as C++, Java, JavaScript, and Python. 

The chatbot has been in development for some time, and the company decided to make it available to the public in late March for US and UK users. According to Google, Bard can link to the source of any code generated from open-source projects.

One of the major benefits of Bard is that it is connected with other Google products like Google Sheets and Colab, making it easy for users to export code and work on their projects. Additionally, the chatbot can provide detailed explanations for code fragments, which is useful for beginner programmers. The chatbot shows why a specific piece of code produces a particular result, making it easier for users to learn and understand programming.

Google admits that the Bard may produce code that does not meet the expected results or is incomplete, so it is recommended that users check and test the answers before using them. For instance, the Bard can debug code that does not work correctly or help optimize code for better performance. However, it is essential to remember that Bard is not perfect and may give inaccurate or incomplete answers.

It is worth mentioning that programming has been gaining popularity for some years, and Google says it is one of the most commonly searched topics. Therefore, it is unsurprising that the company decided to develop a chatbot to assist beginners in learning to program. By providing an AI-based chatbot that can generate and explain code, Google is taking a significant step towards making programming more accessible to everyone.

While the chatbot may have some limitations, it has the potential to revolutionize the way we learn and teach programming.

Vishak

Written by Vishak

Vishak is a skilled Editor-in-chief at Code and Hack with a passion for AI and coding. He has a deep understanding of the latest trends and advancements in the fields of AI and Coding. He creates engaging and informative content on various topics related to AI, including machine learning, natural language processing, and coding. He stays up to date with the latest news and breakthroughs in these areas and delivers insightful articles and blog posts that help his readers stay informed and engaged.

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