Artificial Intelligence (AI) may be a very new type of technology, but it is changing many aspects of the way we do business. And as AI programmers develop more efficient AI technologies, more businesses are integrating it into their processes and structures.
SwissCognitive Guest Blogger: Anastasia Stefanuk, a passionate writer and Information Technology enthusiast.
Latest data shows that the market size of AI is projected to reach $266.92 billion by 2027. One area that has seen a major transformation with the integration of AI, is software development.
Traditionally, developers have to hand-engineer every part of a software product from start to finish. AI seeks to empower developers and testers to work more efficiently, by predicting certain outcomes and automating certain tasks.
AI development techniques enable developers to automatically discover trends and patterns in data sets. Developers can then apply this information to plan, design and deploy functions in software products that are aligned with user behaviors.
How AI Enhances Software Development and Testing
Allowing trial-and-error-training
AI is already being used in many industries for training. In software development, junior programmers can use AI to develop product tests. In turn, this can lead to a higher level of experience, knowledge and skill for new developers.
Predicting outcomes
Through data mining, statistics and modelling, AI technology is used to predict certain outcomes. This is valuable in software development, as it gives developers more options to change the results and to identify any issues early on in the development process.
Offering innovative knowledge
Because developers have to code every part of a software application, knowledge about what can be done with a new application can be limited. AI can present innovative features that developers didn’t know about to develop, maintain and extend applications.
Enabling faster development
AI enables developers to streamline some of their processes and write better code. This reduces the chances of error and allows for improved speed during the coding process.
Thank you for reading this post, don't forget to subscribe to our AI NAVIGATOR!
Allowing fully-automated software testing
Quality is important for every business when they invest in new software development products. And because a notable amount of software development costs consists of fixing errors, it is important to invest in proper testing. AI can greatly improve the quality assurance process. While traditional, manual testing can be time consuming and have a high margin of error, AI enables accurate automated testing. This ensures any bugs or issues are identified at every step of the development process and solutions can be found fast. In a recent Forrester survey, 37% of the respondents reported that they were already using AI for testing to increase software development quality.
Offering deployment control
AI technologies increase the efficiency in deployment control activities. It offers developers the opportunity to run newer versions of an application without stressing about the chances of failed deployment. Developers can also scan for issues related to the deployment process using clever algorithms.
Enhance Decision Making
Developers spend a significant amount of time and capital making critical decisions about how the end-product should look and react. AI can enhance decision-making by evaluating the effectiveness of existing applications and prioritizing certain features. Software companies can quickly and easily make data-driven business decisions, maximizing impact and increasing revenue.
AI-Enabled Coding Apps and How They Help With Software Development
There are AI-enabled coding apps that bring automation into the software development process to improve efficiency and precision during the coding process. Some of these apps include Kite and Deep TabNine. Let’s take a closer look at how these apps help with software development efficiency and accuracy:
They predict code
Coding can be a lengthy and complex task. Most AI-enabled coding apps are programmed with millions of sets of code. When a developer enters certain code sets, the app will recognize it and finish the sets automatically.
They support a variety of languages
Most AI-enabled coding apps support a variety of the most popular programming languages, including:
- Python
- JavaScript
- C++,
- Ruby
- Swift
- Kotlin
- SQL
- HTML
- CSS
They detect errors immediately
These apps are programmed to pick up any errors in code. What makes it so effective, is that it alerts developers of any issues immediately. This avoids crashes and bugs later on in the development journey.
They offer code snippets
Developers can code faster by browsing through code snippets that are recommended by the apps based on variables developers define in your codebase.
They allow special commands
Some apps are designed to enable developers to enter special commands to perform specific tasks. This is useful because the apps remember the commands and can use it in future coding projects.
They can be integrated
Most AI-enabled coding apps can be combined with integrated development environment (IDE) software applications for more convenient and smoother workflows.
There are many benefits to using AI-enabled coding applications for the development of new products. From startups to large firms, these apps can ensure that new software development products, no matter how simple or complex, are created faster and more efficiently.
The Future of AI for Software Development
As mentioned, AI is still very much a new type of technology and AI programmers are constantly developing new tools for software developers to use. Some businesses are even hiring their own AI software developer teams to develop special tools suited to their unique needs. When looking at the average AI programmer salary compared to the cost of investing in out-of-the-box AI software, hiring these programmers may just be the trend for businesses in the future.
AI: the Future of Software Development
The implementation of artificial intelligence may be very new for businesses and many are still experimenting with this technology, but there is no doubt that it is changing the way we operate in many ways. Statistics show that 54% of business owners say that their adoption of AI has led to a major boost in productivity. For software developers, AI means that they can develop higher-quality applications faster and more efficiently. Not only can this save businesses time and effort, but it can also lead to more innovative applications for business processes in the future.
It is, however, important to understand that there are many different types of AI technology and it is essential to choose the right option for your software development needs.
About the Author:
Anastasia Stefanuk is a passionate writer and Information Technology enthusiast. She works as a Content Manager at Mobilunity, a provider of dedicated development teams around the globe. Anastasia keeps abreast of the latest news in all areas of technology, Agile project management, and software product growth hacking, at the same time sharing her experience online to help tech startups and companies to be up-to-date.
Artificial Intelligence (AI) may be a very new type of technology, but it is changing many aspects of the way we do business. And as AI programmers develop more efficient AI technologies, more businesses are integrating it into their processes and structures.
SwissCognitive Guest Blogger: Anastasia Stefanuk, a passionate writer and Information Technology enthusiast.
Traditionally, developers have to hand-engineer every part of a software product from start to finish. AI seeks to empower developers and testers to work more efficiently, by predicting certain outcomes and automating certain tasks.
AI development techniques enable developers to automatically discover trends and patterns in data sets. Developers can then apply this information to plan, design and deploy functions in software products that are aligned with user behaviors.
How AI Enhances Software Development and Testing
Allowing trial-and-error-training
AI is already being used in many industries for training. In software development, junior programmers can use AI to develop product tests. In turn, this can lead to a higher level of experience, knowledge and skill for new developers.
Predicting outcomes
Through data mining, statistics and modelling, AI technology is used to predict certain outcomes. This is valuable in software development, as it gives developers more options to change the results and to identify any issues early on in the development process.
Offering innovative knowledge
Because developers have to code every part of a software application, knowledge about what can be done with a new application can be limited. AI can present innovative features that developers didn’t know about to develop, maintain and extend applications.
Enabling faster development
AI enables developers to streamline some of their processes and write better code. This reduces the chances of error and allows for improved speed during the coding process.
Thank you for reading this post, don't forget to subscribe to our AI NAVIGATOR!
Allowing fully-automated software testing
Quality is important for every business when they invest in new software development products. And because a notable amount of software development costs consists of fixing errors, it is important to invest in proper testing. AI can greatly improve the quality assurance process. While traditional, manual testing can be time consuming and have a high margin of error, AI enables accurate automated testing. This ensures any bugs or issues are identified at every step of the development process and solutions can be found fast. In a recent Forrester survey, 37% of the respondents reported that they were already using AI for testing to increase software development quality.
Offering deployment control
AI technologies increase the efficiency in deployment control activities. It offers developers the opportunity to run newer versions of an application without stressing about the chances of failed deployment. Developers can also scan for issues related to the deployment process using clever algorithms.
Enhance Decision Making
Developers spend a significant amount of time and capital making critical decisions about how the end-product should look and react. AI can enhance decision-making by evaluating the effectiveness of existing applications and prioritizing certain features. Software companies can quickly and easily make data-driven business decisions, maximizing impact and increasing revenue.
AI-Enabled Coding Apps and How They Help With Software Development
There are AI-enabled coding apps that bring automation into the software development process to improve efficiency and precision during the coding process. Some of these apps include Kite and Deep TabNine. Let’s take a closer look at how these apps help with software development efficiency and accuracy:
They predict code
Coding can be a lengthy and complex task. Most AI-enabled coding apps are programmed with millions of sets of code. When a developer enters certain code sets, the app will recognize it and finish the sets automatically.
They support a variety of languages
Most AI-enabled coding apps support a variety of the most popular programming languages, including:
They detect errors immediately
These apps are programmed to pick up any errors in code. What makes it so effective, is that it alerts developers of any issues immediately. This avoids crashes and bugs later on in the development journey.
They offer code snippets
Developers can code faster by browsing through code snippets that are recommended by the apps based on variables developers define in your codebase.
They allow special commands
Some apps are designed to enable developers to enter special commands to perform specific tasks. This is useful because the apps remember the commands and can use it in future coding projects.
They can be integrated
Most AI-enabled coding apps can be combined with integrated development environment (IDE) software applications for more convenient and smoother workflows.
There are many benefits to using AI-enabled coding applications for the development of new products. From startups to large firms, these apps can ensure that new software development products, no matter how simple or complex, are created faster and more efficiently.
The Future of AI for Software Development
As mentioned, AI is still very much a new type of technology and AI programmers are constantly developing new tools for software developers to use. Some businesses are even hiring their own AI software developer teams to develop special tools suited to their unique needs. When looking at the average AI programmer salary compared to the cost of investing in out-of-the-box AI software, hiring these programmers may just be the trend for businesses in the future.
AI: the Future of Software Development
The implementation of artificial intelligence may be very new for businesses and many are still experimenting with this technology, but there is no doubt that it is changing the way we operate in many ways. Statistics show that 54% of business owners say that their adoption of AI has led to a major boost in productivity. For software developers, AI means that they can develop higher-quality applications faster and more efficiently. Not only can this save businesses time and effort, but it can also lead to more innovative applications for business processes in the future.
It is, however, important to understand that there are many different types of AI technology and it is essential to choose the right option for your software development needs.
About the Author:
Anastasia Stefanuk is a passionate writer and Information Technology enthusiast. She works as a Content Manager at Mobilunity, a provider of dedicated development teams around the globe. Anastasia keeps abreast of the latest news in all areas of technology, Agile project management, and software product growth hacking, at the same time sharing her experience online to help tech startups and companies to be up-to-date.
Share this: