GitHub Copilot and the Impact of AI on Developer Productivity

What is GitHub Copilot?

OpenAI’s Codex, also known as GitHub Copilot, is a machine learning model that can generate code snippets and suggest improvements based on natural language input from developers.GitHub Copilot is the latest addition to the world of Artificial Intelligence (AI) and machine learning. The technology is designed to help developers write code quickly and efficiently. GitHub Copilot is an AI-based coding assistant that works alongside developers to provide real-time suggestions and autocomplete functions that simplify and speed up the coding process.

How Copilot Works?

GitHub Copilot works by using machine learning to suggest code snippets and even complete code based on natural language input from the user. The machine learning model that powers Copilot was trained on a massive amount of open source code, so it has learned to recognize common programming patterns and syntax.


Here is a high-level overview of how Copilot works:

  1. The user inputs a natural language prompt into their code editor, such as “Create a function that calculates the factorial of a number.
  2. Copilot uses a machine learning model to generate code that matches the user’s prompt. The model is able to recognize the context of the prompt and suggest code that is appropriate for the task.
  3. Copilot presents the user with one or more suggested code snippets based on the input prompt. The user can then choose to use one of the suggested snippets, modify it, or write their own code.
  4. If the user chooses to modify or write their own code, Copilot will continue to suggest code snippets based on their input.
  5. As users interact with Copilot and provide feedback, the machine learning model is updated and improved over time, allowing it to generate even more accurate and relevant code suggestions.


Let’s say that you want to write a function that calculates the factorial of a number. Normally, you might start by thinking about the logic of the function and writing out the code manually. But with Copilot, you can simply provide a natural language prompt and let the machine learning model generate the code for you.

So you might type in something like this:


“Create a function that calculates the factorial of a number.”

After you hit enter, Copilot will analyze the prompt and generate a code snippet that it thinks matches your request. In this case, it might generate something like this:


function factorial(n) {

  if (n === 0) {

    return 1;


  return n * factorial(n – 1);



This code calculates the factorial of a number recursively, which is exactly what you asked for! Now you can use this code as-is, modify it to fit your specific needs, or write your own code based on the suggestions that Copilot has provided.

Impact of Copilot:

Its potential impact on the software industry is significant and cannot be overstated, as it can greatly improve developer productivity and efficiency.

The tool has also made it possible for non-technical individuals to learn how to code much faster.With the real-time suggestions and autocomplete functions provided by GitHub Copilot, individuals can quickly learn how to write code without necessarily having to understand the underlying programming language.

Some of the potential impacts of Copilot on the software industry include:

  1. Increased productivity: Copilot can help developers generate code faster and more accurately, reducing the time and effort required for routine tasks. This can free up more time for developers to focus on higher-level tasks and innovation.
  2. Improved code quality: Copilot can suggest improvements to code based on best practices and common coding patterns. This can help ensure that code is of higher quality, more maintainable, and less prone to errors.
  3. Greater accessibility: Copilot can help make coding more accessible to people with less programming experience. By providing code suggestions and automating routine tasks, it can help lower the barrier to entry for people who are new to coding.
  4. Increased innovation: With Copilot handling routine coding tasks, developers can focus more on innovating and creating new solutions. This can lead to more innovative software and greater competition in the marketplace.

Industries Incorporating Copilot:

Its adoption is still in its early stages. However, there are wide range of industries that rely on software development. Here are a few examples of industries that may incorporate Copilot:

  1. Software Development: Copilot was primarily designed to assist software developers, and thus, the software development industry is likely to be one of the first to incorporate this technology. It can help developers write code faster and more accurately, allowing them to focus on higher-level tasks.
  2. E-commerce: E-commerce companies rely heavily on technology for their operations. Incorporating Copilot can help e-commerce companies develop and maintain their software more efficiently and effectively, resulting in a better customer experience.
  3. Finance: The finance industry relies heavily on software for tasks such as trading, risk management, and compliance. Copilot can help finance professionals develop and maintain their software, ensuring that it is secure, efficient, and compliant.
  4. Healthcare: The healthcare industry is becoming increasingly reliant on technology for tasks such as patient monitoring, data analysis, and electronic health records. Copilot can help healthcare professionals develop and maintain their software, ensuring that it is reliable and secure.
  5. Education: The education industry is also becoming more reliant on technology for tasks such as online learning, student management, and data analysis. Copilot can help educators develop and maintain their software more efficiently, freeing up time to focus on teaching and learning.

Is Copilot Free?

GitHub Copilot is not completely free, but there is a free trial period available. Currently, Copilot is available as a technical preview, and developers can sign up for a waitlist to gain access. Once developers are invited to try out Copilot, they can use it for free during the technical preview period.

However, once the technical preview period is over, Copilot will require a paid subscription to GitHub’s existing code collaboration and hosting platform, GitHub Pro or GitHub Enterprise. The subscription cost for GitHub Pro or GitHub Enterprise varies depending on the specific plan and features that developers require.

It is also worth noting that while Copilot itself is not completely free, the machine learning models that power Copilot are based on the OpenAI GPT (Generative Pre-trained Transformer) technology, which is open source and freely available to developers. This means that developers can train and fine-tune their own machine learning models based on the GPT technology to perform similar tasks to Copilot if they prefer not to use the service.

Is GitHub Copilot and ChatGPT the same?

GitHub Copilot is a code generation tool that uses machine learning to suggest code snippets and complete code based on natural language input from the user. It is designed to help developers write code faster and more efficiently.

ChatGPT, on the other hand, is a language model that is trained to generate natural language text based on its input. It is not specifically designed for code generation, although it can potentially be used for that purpose. ChatGPT is designed to generate human-like responses to text-based prompts, and it is often used for chatbot applications or other text-based AI services.

While both GitHub Copilot and ChatGPT use machine learning, they are designed for different purposes and are used in different contexts. GitHub Copilot is primarily used in software development, while ChatGPT is used in a wide range of applications that require natural language processing, such as customer service chatbots, language translation, and content creation.

How WTA (We Think App) Adopts to Copilot:

After careful evaluation and discussion, WTA (We Think App) integrated GitHub Copilot into development projects. We as a team started by ensuring that our IDE is compatible with the tool.

The implementation was successful, as we quickly found that the tool improved our productivity and helped us to write code more efficiently. We were able to complete the code faster and with fewer errors, which resulted in better code quality and more efficient development workflows.

By using GitHub Copilot, We Think App was able to streamline the development process by automating tedious coding tasks, allowing to focus on more creative and challenging aspects of work, which in turn ultimately resulted in improved customer satisfaction.

It helped us stay ahead of the curve in terms of development technology and improved coding process, resulting in better outcomes for both the team and the clients.

Thanks to the use of GitHub Copilot, The technology has made it possible for the company to reduce the number of hours required to complete software development projects, which has led to increased profitability and a competitive edge in the industry.

Why Copilot a Game-Changer?

In conclusion, GitHub Copilot is a game-changer in the world of software development. The technology has shown a significant impact on the industry, making it possible for developers to write code faster and more efficiently. 

Moreover, WTA has been able to provide premium services to its clients, thanks to the adoption of GitHub Copilot technology. With the tool, We as a company able to improve the quality of the software it develops, which has led to increased customer satisfaction and improved brand reputation. The tool provides real-time suggestions and autocomplete functions that match the context and programming language being used, reducing the likelihood of errors and bugs in the software. It is clear that GitHub Copilot technology is here to stay, and it will continue to transform the software development industry for years to come.

Manish Surapaneni

A Visionary & Expert in enhancing customer experience design, build solutions, modernize applications and leverage technology with Data Analytics to create real value.

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