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  • Writer's pictureKrishna Bhatt

Coding with Bard or ChatGPT: Which is Right for You?

Updated: Jun 21, 2023

As technology continues to evolve, so does the way we interact with it. In the field of coding, developers are constantly searching for tools that can streamline their workflow and enhance their productivity. Two emerging technologies that have gained significant attention in recently are Bard and ChatGPT.

Bard or ChatGPT

In this blog, we will delve into a comprehensive comparison of these two as coding assistance systems, examining their features, capabilities, and potential impact on the developer community.

Understanding Bard and ChatGPT:

Before we embark on a comparison, it's crucial to grasp the fundamentals of both Bard and ChatGPT.

Google Bard

Google Bard is a natural language processing (NLP) tool that enables users to build and deploy conversational agents. It is a combination of an open-source platform that allows developers to create custom conversational experiences and a suite of easy-to-use tools for creating, managing, and deploying bots. It utilizes advanced machine learning algorithms and natural language processing to generate code snippets based on user input. Bard focuses on providing concise, accurate, and context-aware code suggestions to enhance developer productivity.

Google Bard was trained using 1.56 trillion words from a public dataset.

training dataset of google bard

With Google Bard, developers can quickly create sophisticated conversations using natural language understanding (NLU) algorithms. With the announcement of Code Generation with Bard, it is being highlighted with the efficiency and accuracy it holds in generation.

Coding with Bard is a powerful tool for developers of all levels. Its intuitive interface makes coding easier and faster, and its vast library of functions makes it easy to create complex projects. With its intuitive interface and extensive library of functions, it's no wonder that so many developers are choosing Bard as their go-to coding language.

End users may now enter a description of the required code functionality, and Bard will produce appropriate code snippets in languages including Python, JavaScript, C++, Java, and Typescript.

OpenAI ChatGPT

ChatGPT is a natural language processing (NLP) tool that enables developers to create conversational AI applications. It is a sophisticated language model developed by OpenAI. It has been designed to make creating natural language interfaces easier and faster. With ChatGPT, developers can quickly create chatbots, virtual assistants, and other AI-driven applications with minimal effort. The training data for ChatGPT is illustrated below:

training data for ChatGPT

It has been trained on a vast amount of text data and is designed to generate human-like responses to a wide range of prompts. While not specifically built for coding, ChatGPT can assist developers by providing code-related suggestions, explanations, and answering programming queries.

Advantages like faster development times, easier debugging, better scalability, improved security make ChatGPT an excellent choice for coding projects. Its ease of use and powerful features make it ideal for developers looking to create robust applications.

Features and Capabilities:

To evaluate the effectiveness of Bard and ChatGPT in the coding domain, it's important to examine their respective features and capabilities.

  1. Code Generation:

Bard specializes in code generation, offering suggestions for completing code snippets, writing functions, or even entire blocks of code. Its intelligent algorithms analyse the existing codebase and context to provide relevant suggestions, significantly reducing the time required for manual coding.

The task of machine learning was assigned to Google Bard, the output shows the code with menu driven function.

code generation- bard

ChatGPT, although not primarily focused on code generation, can still assist developers with its vast language knowledge. It can offer suggestions for code snippets, explain programming concepts, and even help debug code by providing insights based on its training data.

The same task for machine learning was assigned to the ChatGPT, the response time was noted to a bit faster when compared:

code generation- ChatGPT

Natural Language Interaction:

Bard's user interface emphasizes a natural language interaction paradigm. Developers can express their coding needs in plain English or a programming language's syntax, making it accessible to developers of varying expertise. Bard understands the intent behind the query and generates code that aligns with the desired functionality.

Natural Language Interaction- Bard

Natural Language Interaction- Google Bard

Google Bard mentioned the source link of the reference from where it is performing coding.

On the other hand, ChatGPT excels in natural language processing and can engage in interactive conversations. Developers can seek help, clarify doubts, or discuss programming challenges with ChatGPT. Its ability to understand context allows it to provide insightful and relevant responses to coding-related queries.

ChatGPT excels in natural language processing

ChatGPT didn’t mentioned the source link of the reference from where it is performing coding.

Performance and Effectiveness:

To gauge the performance of Bard and ChatGPT in real-world scenarios, we can consider various factors.

1. Code Quality:

Bard aims to generate high-quality code snippets that adhere to programming best practices. It considers factors such as code readability, efficiency, and maintainability. By automating certain coding tasks, Bard reduces the chances of human error and ensures code consistency.

After initiating the conversation with Google Bard, it performed the task with the quality.

Code Quality- Bard

Code Output- Bard

It provided the exact output which was expected making it outshine.

On the other side, ChatGPT's code suggestions might not be as comprehensive as Bard's, but it compensates with its vast knowledge base. Developers can rely on ChatGPT for quick references, explanations of coding concepts, and general programming guidance.

ChatGPT's code suggestions

1. Context Awareness:

Bard's strength lies in its ability to understand the code context. It can analyze the existing codebase and generate suggestions that align with the overall structure and purpose of the code. This context awareness greatly enhances its usefulness in real-world coding scenarios.

ChatGPT, while lacking the deep code context understanding of Bard, can still provide valuable insights by leveraging its extensive training data. It can explain programming concepts, offer alternative solutions, and provide suggestions based on patterns it has learned.

Tabular Comparison for Google Bard and ChatGPT

Google Bard


Multimodal Capabilities: Google Bard can generate text accompanied by images, graphs, and other visual elements, enhancing the overall communication experience.

Language-focused: ChatGPT is designed specifically for generating high-quality text and excels at natural language processing tasks.

Interactive Conversations: Google Bard is optimized for interactive conversations and can maintain context over multiple exchanges, making it suitable for chatbot applications.

Large Knowledge Base: ChatGPT has access to a vast amount of information and can provide detailed answers to a wide range of questions due to its training on a diverse corpus of text.

Rich API Integration: Google Bard offers seamless integration with Google's APIs and services, allowing for easy incorporation of additional functionality like image recognition or language translation.

Versatile Usage: ChatGPT can be used across various domains and applications, including customer support, content generation, and creative writing.

Fine-tuning Capability: Google Bard allows users to fine-tune the model on custom datasets, enabling more domain-specific or personalized conversational experiences.

Continual Improvements: OpenAI continually updates and refines the GPT models, incorporating user feedback and advancements in natural language processing research.

Statistics and User Feedback:

To provide a more data-driven comparison, let's consider some statistics and user feedback regarding Bard and ChatGPT.

Usage Statistics:

According to recent data, Bard has been widely adopted by professional developers and coding enthusiasts. It has consistently demonstrated its effectiveness in reducing coding time and improving code quality. Many developers praise Bard for its accurate code completion and contextual suggestions.

In 2023, Google’s parent company is fiercely focused onmachine learningand artificial intelligence (AI)after generative AIand AI-powered searchexploded as the next big trend in tech. Alphabet ranks among the leading patent owners in the field and has been acquiring a significant number of AI startups, and has even started to report the DeepMind AI project as part of its corporate costs. In October 2016, CEO Sundar Pichai claimed Google as an “AI-first company” – however, Google appears to have missed the starting gun of the consumer-focused AI race after the mangled launch of its own public chatbot service Bard, which is set to directly compete with industry darling ChatGPT.

ChatGPT, being a versatile language model, has gained immense popularity across various domains. While not specifically built for coding, developers have found value in its ability to assist with coding tasks. However, it's important to note that ChatGPT's code-related suggestions may not always be as refined as those from dedicated coding assistance systems like Bard.

User Feedback:

User feedback plays a crucial role in evaluating the performance of coding assistance systems. Bard has received positive feedback from developers who appreciate its ability to boost productivity and reduce cognitive load. Its contextual understanding and accurate code generation have earned it a solid reputation among coding professionals.

ChatGPT has also garnered praise from developers who value its versatility and ability to provide explanations and general programming guidance. However, some users have reported instances where ChatGPT's responses were not as accurate or relevant as they had hoped, highlighting the limitations of a more generalized language model.

The Bottom Line:

Bard and ChatGPT offer distinct approaches to coding assistance. Bard's focus on code generation, coupled with its context awareness, makes it a powerful tool for enhancing productivity and code quality. On the other hand, ChatGPT's broader language understanding and ability to engage in interactive conversations provide valuable support for developers, albeit with some limitations.

Ultimately, the choice between Bard and ChatGPT depends on the specific needs and preferences of developers. By understanding the strengths and weaknesses of each system, developers can leverage these tools effectively to optimize their coding workflow.

In this age of rapidly advancing AI technology, both Bard and ChatGPT exemplify the potential for intelligent coding assistance. As they continue to evolve, developers can expect even more sophisticated tools to augment their coding journey and shape the future of software development.

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