# Google Bard Now Capable of Coding and Debugging
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Chapter 1: Introduction to Google Bard's New Features
The wait is over! Google Bard has officially gained the ability to write and debug code. After considerable anticipation, this advanced large language model (LLM) can now handle code generation and debugging in more than 20 programming languages, including C++, Go, Java, JavaScript, Python, and TypeScript. Additionally, it can elucidate how the code functions, making it a valuable tool for developers.
This enhancement comes as a direct response to user feedback and mirrors the capabilities offered by OpenAI's ChatGPT.
Section 1.1: What is Google Bard?
Google Bard is a sophisticated conversational AI model trained on vast datasets to deliver human-like responses to various prompts and inquiries.
April 21, 2023 Update
What: Bard now assists users in coding across 20+ programming languages. Feel free to ask for help with languages such as C++, Go, Java, JavaScript, Python, TypeScript, or even functions in Google Sheets.
Why: Bard is designed for individuals of all programming skill levels, from novices to seasoned professionals, enabling them to generate code, debug, or understand how code operates.
Let’s explore Bard’s performance with code suggestions.
Section 1.2: Performance Demonstration
Prompt: "Write a C++ code that adds two integers."
Bard’s response was:
I ran the code in a compiler using test data, and the output was accurate—excellent!
Now, let’s tackle a more complex task.
Prompt: "Create a React application that contains two text boxes and an 'Add' button. When the user clicks the button, the app will sum the two input numbers and display the result."
Here’s how Bard responded:
I observed that it did not provide initial setup instructions for the React project. Nonetheless, I created a React app and utilized the provided code, which successfully added the input numbers and displayed the result.
Chapter 2: Comparing Bard and ChatGPT
When comparing Bard to ChatGPT using the same React application prompt, it became evident that ChatGPT (GPT-4 model) not only offers complete source code but also outlines the steps for setting up the React app, along with a CSS file for aesthetic enhancement.
Here’s what ChatGPT produced:
After building the app, this is the final user interface:
ChatGPT not only performs effectively but also delivers a more visually appealing output compared to Bard.
Section 2.1: Limitations of Bard
Despite its impressive capabilities, Bard is not infallible—it can sometimes provide incorrect or unsuitable answers. Users are encouraged to utilize the “Google it” feature to verify Bard's responses. Furthermore, Bard’s performance can improve based on user feedback, allowing for ratings and the option to flag unsafe content.
Section 2.2: Getting Started with Bard
Interested in trying out Bard? Visit the Google Bard website to join the waitlist.
You will receive an email notification once you gain access to this innovative AI tool.
Final Thoughts
It’s crucial to recognize that Google has established guidelines to regulate Bard’s outputs for privacy and security purposes. While this may influence the quality of its responses, it is a necessary compromise. Google’s objective is to expedite software development, stimulate innovation, and assist users in tackling intricate engineering challenges.
As Bard enters the competitive landscape alongside Microsoft’s Bing Chat and OpenAI’s ChatGPT, this rivalry is expected to spur further advancements in AI-driven code generation. The landscape of software development is evolving rapidly, and the upcoming updates are highly anticipated.
Stay tuned for the latest developments in the generative AI domain—follow the Generative AI publication for updates.
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