Artificial intelligence is optimising software development processes by automating coding, testing, debugging, and project planning, enabling developers to deliver high-performance software faster and more efficiently.
What if developers could create high-quality. software in significantly less time, with minimal errors and reduced effort? Today, this is possible thanks to AI in software development.
For a long time, development teams faced repetitive coding tasks, slow testing cycles, and manual debugging, ultimately delaying projects. But AI has completely changed the situation through more intelligent automation.
Now, software development teams can easily create high-performance software solutions thanks to AI. In this blog, we will share real-world instances, tools, and benefits of using AI in software development.
Understanding the Role of AI in Software Development
In early November 2022, with the launch of ChatGPT, it was predicted that software developer jobs would be at risk. However, this prediction proved incorrect. In fact, ChatGPT has become a powerful support tool for software developers.
This is precisely the goal of artificial intelligence (AI) in software development. From recommending correct syntax to detecting errors and generating scripts, the integration of AI into software development has helped streamline every stage of the process. For this reason, the global AI in software development market is estimated to reach $15.7048 billion by 2033, with a multiple annual growth rate (CAGR) of 42.3%.
Recall how, in the late 2000s, developers had to program and test software applications manually. This process was very labour-intensive. Furthermore, it was difficult for them to identify and correct all errors effectively.
But with the advent of AI in software development, programming has become faster, and testing and debugging have been simplified thanks to automation. As a result, developers have been able to quickly and efficiently create high-performance software solutions.
Excellent Benefits of Using AI in Software Development
Here’s how artificial intelligence is benefiting software development.
1. Faster development cycles
Software development involves many repetitive tasks, such as writing boilerplate code, creating documentation, and debugging common errors.
Before the advent of artificial intelligence, these repetitive tasks consumed significant time and effort from developers. But now, AI automates these routine tasks, permitting developers to focus on more multifaceted and creative work.
2. Improved Code Quality
Code in software development is often very long. In such long lines of code, it’s difficult for developers to find all the errors.
Artificial intelligence simplifies this process thanks to its data analysis tools. AI-based tools can analyse large volumes of code for potential errors and vulnerabilities in a very short time. These analysis tools work very efficiently and easily detect problems that often go unnoticed by humans.
3. Cost-Efficient Development
What if a tool could test code right as it’s being written? This would save developers a lot of time. That’s precisely what artificial intelligence does in software development. AI-based test automation tools automatically run code tests.
This helps teams complete custom software development projects faster. In addition, automated testing tools allow software development companies to save on the cost of hiring large quality assurance teams, ultimately reducing development costs.
5 Most Popular AI Tools Used for Software Development
So far, we’ve seen how AI helps intelligently and efficiently optimise the software development process. Now it’s time to see how it does it. Here is a list of the five most popular AI-based software development tools.
| Tool | The main force | the best for |
| GitHub Copilot | Automatic code generation | Daily programming productivity |
| Tabnin | Personalised recommendations based on predictive analytics. | Teams with large codebases |
| AWS CodeWhisperer | Secure cloud programming | Quality control teams and testers |
| PROOF | Intelligent test automation | Fast and reliable product launch. |
1. GitHub Copilot
GitHub is the most prevalent platform for developers, allowing them to create, store, manage, and share their code.
This leading platform was already handy for developers worldwide. But it became revolutionary after its merger with OpenAI, resulting in GitHub Copilot.
Today, this platform has transformed into a popular AI-powered programming assistant that uses advanced language models to understand code context and offer real-time autocomplete suggestions, complete functions, and even entire code files. This allows developers to save time and easily increase their productivity.
2. Tabnine
Following GitHub Copilot, Tabnine is another AI-based code completion tool. Its distinguishing feature is its ability to predict the following line of code based on your current coding style.
It also supports multiple programming languages. GitHub Copilot is skilled on a large dataset of publicly available code from open-source projects. However, Tabnine can be trained on your team’s private code, enabling it to adapt to your coding style and the specific architectural decisions of your organisation or project.
3. AWS CodeWhisperer
Software development encompasses various types, including cloud-based SaaS development. AWS CodeWhisperer is an AI assistant designed specifically for cloud development.
It is beneficial for software developers building solutions on the AWS architecture.
Thanks to its powerful analytical capabilities, AWS CodeWhisperer automatically identifies and eliminates security vulnerabilities.
Furthermore, this advanced programming assistant easily integrates with integrated development environments (IDEs) such as VS Code and JetBrains. Thus, AWS CodeWhisperer becomes an indispensable tool for cloud engineers who want to develop software solutions faster without compromising security.
4. Selenium + AI-Based Testing Add-ons
Selenium is considered one of the most popular frameworks for test automation and an indispensable tool for most software testing engineers.
This popular testing tool has become even more powerful thanks to integration with artificial intelligence plugins. Selenium’s AI technology automatically detects errors and corrects incorrect test scenarios.
For example, if the position of a button changes after a user interface redesign on a web portal, Selenium AI automatically adjusts the locator, eliminating the need for manual test updates. This allows quality assurance engineers to increase testing efficiency.
5. Testing
After Selenium, Testim is another widely used AI-based testing tool. This tool focuses on intelligent test creation and maintenance. Thanks to its AI-driven analytical capabilities, Testim learns the behaviour of software applications and automatically updates test scripts.
For example, if a new feature affects the login process, Testim automatically updates test paths without requiring manual code changes. This intelligent testing tool helps quality assurance teams reduce testing time and improve product quality.
Real Use Cases of AI in Software Development
1. AI-Powered Code Generation and Auto Completion
One of the main submissions of artificial intelligence in the software development process is intelligent code generation, where AI tools help developers write code automatically.
These tools, powered by AI-based data analysis, easily analyse code and suggest the following line of code or entire functional blocks, predicting what might be needed next. Ultimately, this helps eliminate repetitive code and reduces the likelihood of syntax errors.
2. Project Planning and Resource Management
Just as software solutions must be high-performing, developers must deliver projects on time.
To achieve this goal, the use of artificial intelligence in software development proves extremely useful. AI efficiently assesses each developer’s performance, workload, sprint completion speed, and task complexity to create project plans.
Furthermore, AI also helps project managers plan software development more accurately by analysing historical performance data and predicting project delivery risks. This allows software development projects to be completed on time and with complete accuracy.
3. Automated Software Testing
Testing is a critical stage in the software development process. However, it is very labour-intensive. Artificial intelligence automates testing processes by running test scenarios, analysing user interface behaviour, predicting areas of failure, and identifying errors.
Furthermore, AI automation allows test scenarios to be automatically updated when the software changes – a task that manual testers can take hours or even days to complete.
4. AI for UI/UX Design and Prototyping
Manually creating software layouts or prototypes is a tedious, error-prone process. However, AI does this instantly. It automatically generates designs, colour palettes, and user-scenario suggestions.
It can even convert text descriptions into editable layouts or prototypes and recommend improvements. This helps shorten design cycles and create more user-friendly software solutions.
5. AI-Assisted Debugging
What if every software developer had a personal assistant to debug every line of code? While this might seem impossible for a human, an AI-powered debugging assistant comes to the rescue.
AI-based debugging tools can analyse large volumes of code with various patterns in a very short time and pinpoint the sources of errors. Furthermore, AI-powered debuggers also offer intelligent solutions, enabling faster problem resolution.
Final Say
Since artificial intelligence is both the present and the future, it is transforming all sectors, including software development. It helps developers create high-performance software solutions at an affordable price through faster programming, more intelligent testing, and enhanced security.
Are you considering developing an AI-based software solution? Technocrats Horizons is your ideal partner. Our software development company is known for the quality and precision of its solutions. Thanks to our flexible development approach and cutting-edge AI technologies, we create high-quality software solutions that perfectly match your needs.