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6 Ways Artificial Intelligence Improves Software Development

Artificial Intelligence is continually gaining hype in the market. People today are fascinated with AI and its applications. The technology offers incredible benefits that nobody can resist.

According to a survey in 2021, about 86% of businesses claim AI is becoming their mainstream technology, and more than 70% of them have already adopted AI to provide their customers with a personalized experience.

Therefore, AI has a bright future ahead in various industrial sectors. It has already started to show its potential in software development with its multiple applications.

In this blog, we will discuss how Artificial Intelligence is making software development better in different ways. Let’s explore them one by one:

1. Automation of Testing and Debugging Processes

Debugging is considered to be a time-consuming task in the software development process. It requires a lot of effort to find and fix the bugs. However, AI can help you automate this task to a great extent. Various AI-based tools available in the market can help you detect and fix errors quickly. 

Some of the popular ones are DeepCode, Code Climate, and Kite. These tools can save a lot of time and improve the quality of the code. 

  • DeepCode is an AI-powered code analysis tool that uses machine learning to detect bugs and security vulnerabilities in the code.
  • Code Climate is another AI-based tool that offers real-time insights to help developers write cleaner code.
  • Kite is an AI-powered coding assistant that helps developers write code faster and smarter.

Debugging is a critical part of the software development process, and Artificial Intelligence can help make it more efficient. Automated tools can quickly identify errors and potential security risks, making the overall development process faster.

2. Identify Coding Errors and Potential Security Risks

As we all know, even a small coding error can lead to big problems and cause the system to crash or create security vulnerabilities; it is essential to detect and fix these errors as soon as possible.

AI-based tools can help developers identify these errors quickly and suggest potential solutions. You can hire software developers to get the best AI-based solutions for your business. They have the expertise and experience to develop high-quality software solutions.

Some of the popular AI-based coding error detection tools are DeepScan, Kiuwan, and SonarQube.

  • DeepScan- DeepScan is a static code analysis tool that uses artificial intelligence to identify potential errors in the code.
  • Kiuwan- Kiuwan is a tool that helps developers to find and fix coding errors. It offers a wide range of features such as static code analysis, code review, and code quality management.
  • SonarQube- SonarQube is an open-source tool that helps developers to find and fix coding errors. It offers a wide range of features such as static code analysis, code coverage, and code smell.

3. Create More User-friendly Applications

Artificial Intelligence can help you create better user-friendly applications. They can help you understand the user’s needs and preferences. This information can develop better applications that offer a personalized experience to the users. Some of the popular  AI-based tools available in the market are Preact, Appy Pie, and Baidu DuerOS. Take a brief look at them below and understand their roles.

  • Preact- Preact provides the thinnest possible Virtual DOM (Document Object Model) library. It is designed to be small, fast, and easy to use.
  • Appy Pie- Appy Pie helps you build AI-based chatbots for your business. It offers a drag and drop interface that makes it easy to create chatbots.
  • Baidu DuerOS- Baidu DuerOS is a conversational artificial intelligence system. It can develop voice-enabled applications with natural language understanding.

Thus, robotic process automation software makes the task of software development more user-friendly. AI tools help you understand the user’s needs and develop better applications that offer a personalized experience.

4. Speed up the Software Development Process

The traditional software development process is time-consuming and often results in delays. Artificial Intelligence can help you speed up the software development process. AI-based tools can help you automate various tasks, such as code generation, testing, and deployment.

Let’s understand how AI can help you automate the software development process.

  • Code generation is the first step in the software development process. Artificial Intelligence can help you generate code quickly and efficiently. Various AI-based tools available in the market can help you generate code, such as TensorFlow, DeepCoder, and CodeRush.
  • Testing is the next step in the software development process. Artificial Intelligence can help you automate various testing tasks, such as regression, load, and performance. Various AI-based tools available in the market can help you automate testing tasks, such as TestComplete, Testimio, and Functionize.
  • Deployment is the last step in the software development process. Artificial Intelligence can help you automate various deployment tasks, such as provisioning, configuring, and scaling. Various AI-based tools available in the market can help you automate deployment tasks, such as Puppet, Chef, and Ansible.

5. Make Better Decisions About Coding Styles & Architecture

Decision-making is an integral part of the software development process. Artificial Intelligence can help you make better decisions about coding styles and architecture. AI-based tools can help you understand the strengths and weaknesses of various coding techniques and architectures. This information can be used to develop better applications that are more scalable and reliable.

Let’s also understand how AI can help you make better decisions about coding styles and architecture.

  • Coding styles are the guidelines that developers follow while coding an application. Artificial Intelligence can help you understand the strengths and weaknesses of various coding styles. This information can be used to develop better applications that are more reliable and scalable.
  • AI-based tools can help you understand the strengths and weaknesses of different coding styles, such as StyleGAN, DeepStyle, and CycleGAN.
  • Architecture is the blueprint of an application. Artificial Intelligence can help you understand the strengths and weaknesses of various architectures. This information can develop better, more scalable, and more reliable applications.
  • There are also various AI-based tools available in the market to help you understand the strengths and weaknesses of multiple architectures, such as TensorFlow, Caffe, and Theano.

6. Improves the Overall Quality of the Software

The overall quality of the software is improved when Artificial Intelligence is used in its development. This is because AI tools help you automate various tasks, such as code generation, testing, and deployment. This helps to reduce errors and improve the quality of the software.

There are various AI-based tools available in the market that can help you improve the quality of the software, such as TestComplete, Functionize, and Puppet.

Let’s understand how these AI tools can help you improve the quality of the software.

  • TestComplete is an AI-based tool that helps you automate various testing tasks, such as regression, load, and performance. It reduces errors and improves the quality of the software.
  • Functionize is an AI-based tool that helps you generate code. It helps to reduce errors and improve the quality of the software.
  • Puppet is an AI-based tool that helps you automate various deployment tasks, such as provisioning, configuring, and scaling. It reduces errors and improves the software’s quality.

Conclusion

Artificial Intelligence is a powerful tool that can help you improve the software development process. AI-based tools can help you automate various tasks, such as code generation, testing, and deployment. This helps to reduce errors and improve the quality of the software.

With the assistance of software developers, you can use Artificial Intelligence in your business to get the best results. Experienced professionals can help you implement AI in the right way and improve the software development process.

FAQs

Question – What is Artificial Intelligence?

Answer – Artificial Intelligence is an important branch of computer science that deals with developing intelligent systems. These systems can perform tasks that require human intelligence, such as understanding natural language and recognizing objects.

Question – What are the benefits of using Artificial Intelligence in software development?

Answer – The robotic technology can help you automate various tasks, such as code generation, testing, and deployment. This helps to reduce errors and improve the quality of the software.

Question – How can Artificial Intelligence help you make better decisions about coding styles and structures?

Answer – Artificial Intelligence tools can help you understand the strengths and weaknesses of various coding styles and structures. It can be used to develop better applications that are more reliable and scalable.

Question – Why is the overall quality of the software improved when Artificial Intelligence is used in its development?

Answer – Artificial Intelligence tools help you automate various tasks, such as code generation, testing, and deployment. This helps to reduce errors and improve the quality of the software.

Question – What are some of the AI-based tools available in the market?

Answer – Some of the best AI-based tools available are TestComplete, Functionize, and Puppet. These tools help you automate various tasks, such as code generation, testing, and deployment. This helps to reduce errors and improve the quality of the software.

Question – What companies use Artificial Intelligence in software development?

Answer- Some companies that use Artificial Intelligence in software development are Google, Facebook, IBM, and Microsoft. These companies use AI tools to automate various tasks, such as code generation, testing, and deployment. This helps to reduce errors and improve the quality of the software.

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Disclaimer: The information in this article is provided for general education and informational purposes only, without any express or implied warranty of any kind, including warranties of accuracy, completeness or fitness for any particular purpose. It is not intended to be and does not constitute financial, legal, tax or any other advice specific to you the user or anyone else. TurtleVerse does not guarantee the accuracy, completeness, or reliability of the information and shall not be held responsible for any action taken based on the published information.

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