GitHub Copilot – utilizing artificial intelligence in software development

GitHub Copilot is an AI-powered programming assistant developed by GitHub, OpenAI and Microsoft that utilizes generative AI and uses machine learning algorithms to analyze the code fed into it. It also provides code snippets, functions and classes to help developers complete their work more quickly. Copilot is also capable of writing complete functions and small programs, even independently.

GitHub has been a subsidiary of Microsoft since 2018. OpenAI has developed the widely popular ChatGPT AI application (which has also been used in writing this blog post). Developers are free to use Copilot in their work if they feel it will benefit their own coding. In this blog post, we’ll discuss the benefits and drawbacks Copilot brings to software development, as well as the value that the use of AI brings to our clients.

The rise of artificial intelligence: a greater technological revolution than the shift to mobile or the development of the internet?
GitHub Copilot benefits developers, our customers and end users of software
- The benefits we have identified from using GitHub Copilot:
When artificial intelligence speaks, the responsibility shifts to the listener
Using artificial intelligence to achieve error-free code
Shall we get on with it?
- Shall we get started?

The rise of artificial intelligence: a greater technological revolution than the shift to mobile or the development of the internet?

There are surely very few people at the moment who can say that artificial intelligence does not affect any aspect of their lives, and the software industry is no exception. Indeed, the rise of AI has been predicted to be a greater technological revolution than the shift to mobile or even the internet itself. This claim is supported, among other things, by the fact that ChatGPT reached the one-million-user mark in just five days after its launch in January 2023, making it the fastest-growing app in history. Meta’s Threads app is reported to have surpassed the same user count in just a matter of hours, but these two apps and their launch contexts may not be entirely comparable, given Meta’s established distribution channels.

GitHub Copilot benefits developers, our customers and end users of software

Our experience of GitHub Copilot has so far been mostly positive. However, when using Copilot and other AI tools, it is important to bear in mind that they are not entirely error-free and still require human judgement to ensure the reliability and functionality of the solutions they provide.

Bearing the above in mind, GitHub Copilot offers many benefits to developers, our clients and the end users of the software we build. For example, developers can make use of the suggestions and code completions provided by Copilot to speed up their coding and reduce the number of errors; our clients benefit from faster and more efficient development, as this can lead to a better end product and shorter development times, enabling the software to reach the market more quickly. Thanks to more efficient application development, end users, in turn, gain access to higher-quality applications, which naturally also improves their user experience. All in all, the use of artificial intelligence can therefore bring significant benefits to all parties involved in the software development process.

GitHub Copilot generates lottery numbers.

The benefits we have identified from using GitHub Copilot:

GitHub Copilot offers a wide range of code suggestions and completions, which help with the development of diverse software projects. The application provides suggestions for various tasks, such as writing lines of code, defining functions and implementing algorithms. This helps developers produce high-quality code and achieve their project goals more efficiently. Furthermore, Copilot can learn from a developer’s working style and needs over time, which improves its ability to provide even better and more personalized suggestions.

Using Copilot reduces the risk of human error, which can improve the quality and reliability of the software. For example, Copilot can detect common programming errors and issue warnings about them before the code is run or deployed. This allows developers to fix any errors quickly and ensure that the software works as expected. Furthermore, Copilot can provide comprehensive test cases and guidance on testing the code, which helps to ensure the quality and reliability of the software.

GitHub Copilot is an advanced AI application that understands context better than many similar applications. It is able to generate code based on comments by drawing on an extensive database of code examples. Developers can use comments to describe their requirements, and Copilot suggests suitable code snippets and solutions based on these. For example, if a function needs to be created to organize a file, Copilot can offer suitable solutions and algorithms for this task. This streamlines development work and helps developers achieve their goals more quickly.

The app enables developers to learn new programming techniques and best practices, which can contribute to their professional development. When developers use Copilot to write code, they can learn new ways of approaching problem-solving and organizing their code. The suggestions provided by Copilot may include new programming language features, design patterns and algorithms, which can enrich developers’ skills and understanding.

Copilot can be used to speed up software development, enabling shorter release cycles. Artificial intelligence enables faster software iteration and updates, which in turn allows for a quicker response to market changes and user feedback. Developers can test, iterate and release software more agilely, which improves product quality and competitiveness.

AI-assisted software development can reduce the overall costs of projects and improve the return on investment in the long term. Better code quality and fewer errors can reduce maintenance costs and improve the overall efficiency of the software’s lifecycle. This can lead to a better return on investment and greater long-term profitability.

GitHub offers better security compared to other AI applications (e.g. ChatGPT). GitHub Copilot is a safer option for several reasons. For example, it uses source code solely to generate suggestions and does not store or share source code with other users. Furthermore, its use is based on a strong encryption protocol and GitHub account permissions, ensuring that only authorized users can access it. Copilot also utilizes advanced AI algorithms to generate accurate and useful code suggestions, which helps to reduce the likelihood of errors or unreliable suggestions.

When artificial intelligence speaks, the responsibility shifts to the listener

Artificial intelligence brings numerous benefits to software development, but what are the drawbacks of using GitHub Copilot or other AI tools? The most important thing to bear in mind is that AI tools still require a human user to ensure the end result is as intended. You need to know how to use the tool and understand the context to produce a high-quality result. If you blindly trust GitHub Copilot, our experience shows that you’re bound to end up with a mess. When AI speaks, the responsibility truly falls on the listener – fortunately, this is something we’re well used to as residents of the wild Savonia metropolis.

When assessing the negative effects of using Copilot, another aspect to bear in mind is its potential impact on developers’ skills becoming rusty, creativity being stifled and dependence on artificial intelligence. If developers rely too heavily on Copilot, for example, they may even lose their ability to write code independently and creatively. This could result in developers no longer being able to innovate and find solutions to problems independently. Furthermore, dependence on even a single tool may expose developers to risk if Copilot stops working or they lose access to it.

All in all, the negative effects associated with the use of artificial intelligence highlight the need to strike a balance between reaping the benefits it offers and maintaining and developing one’s own skills. GitHub Copilot is capable of producing high-quality content, but this depends entirely on how accurately you can define your own needs. It is therefore important to critically evaluate the solutions suggested by Copilot to ensure the quality of the end result. Copilot can be a useful tool for coding, but it must be used with caution and with an awareness of its limitations.

Using artificial intelligence to achieve error-free code

The use of artificial intelligence to ensure code quality is also an important part of an effective AI implementation process. Although AI can generate code suggestions and completions, it is still important to ensure that the generated code is error-free and meets the project’s requirements. Here are a few ways in which we at Hurja ensure code quality:

Testing: We carry out comprehensive testing on all code produced to ensure that it functions correctly and is free from errors. This includes unit tests, integration tests and, where necessary, user interface tests.
Manual review: Our experienced developers carefully review the code generated by the AI and check its accuracy and efficiency before approving it.
Code reviews and peer reviews: We carry out peer reviews and code reviews among team members to ensure that all code produced is of high quality and meets the project’s objectives.
Quality assurance programs: We use automated tools and software to check the quality of the code and ensure compliance with best practices and programming standards.
Continuous improvement: We constantly monitor the performance of the code generated by artificial intelligence and gather feedback from our team members and clients in order to improve the process and ensure the quality of the code.

By combining these methods, we ensure that artificial intelligence helps us produce high-quality, error-free code that meets the project’s requirements and expectations. However, our use of AI is not limited to code generation alone; we have also integrated AI-powered features into the solutions we deliver for our clients. Find out more about the solutions we’ve implemented!

Shall we get on with it?

Would you like to harness the power of artificial intelligence for your company’s software project and achieve significant savings? Whether you need a new application or further development of existing software, we can harness the power of artificial intelligence to provide you with the best possible solution. Please don’t hesitate to get in touch!