AI in Software Development: The Benefits of Automated Code Writing and Documentation
If you are a seasoned software developer, you are most likely used to being first and foremost in new things. AI assistance is a truly revolutionary technology that influences not only business and development but also the way of life and daily routine. It is nothing surprising if you are already exploring and benefiting from using the newest AI-powered apps; however, we want to offer you even more ways to streamline software development and eliminate some unnerving and routine tasks.
We will deconstruct eight creative ways to take advantage of AI tech. From the innovative writing tool to the advanced code editor, we will explore versatile benefits and ways to become more productive and more professional.
#1 AI-Assisted Code Generation
One area where AI has profoundly affected software development is code generation. With partial code or natural language descriptions, AI-powered tools can now propose and even build whole functions or blocks of code. It can be incredibly fast and easy to create blocks of code (primarily repetitive descriptions and functions) to optimize the coding routine for software engineers. However, we recommend only using AI-created code fragments in cases when you understand exactly what this part does. Otherwise, you can encounter undetectable bugs and issues over long distances.
#2 AI Writing Tools
Most expert coders often face difficulties when communicating with someone or writing something engaging. At the same time, most successful software developers often need to write (at least from time to time), for example, a creative and engaging article for their blog describing a new ingenious solution to some famous programming issue. Now, it is easier than ever to narrow down the gap between coding and writing: every engineer can use writing tools to enhance their style, revise the article, and proofread it.
#3 Simple and Effective Coding Solutions
What is coding? Which library or framework to use? How do you fix the code issue?
Previously, coders could go to Stack Overflow and ask their questions. Often, they were getting correct answers from expert colleagues, but the process could seem quite humiliating. There is no risk of public humiliation when talking about problems with helpful AI, and most of the time, your virtual assistant will be ready to provide your valuable (and mostly correct) suggestions. You can optimize the code revision process, use AI to navigate you in relevant studying material, and ask about any aspects of new technology that require clarification. It is easy, convenient, and cool.
#4 Predictive Bug Detection
To prevent problems from surfacing, developers can use machine learning models to examine trends in code and anticipate when they might occur. Automated systems can swiftly analyze stack traces and error logs to identify the source of an issue, drastically cutting down on debugging time. Seasoned developers know that catching a stealthy bug is the most frustrating and time-consuming task in development, so any assistance here is highly appreciated.
#5 Acceleration of Development Process
While they are still in their early stages of development, modern AI coding assistants (or AI code generators) already have impressive skills, such as creating complete code blocks, providing recommended fixes, updating documentation, and identifying problems. Developers may accomplish more in less time with the help of artificial intelligence tools when these tools are provided with the proper project context, code base, and explicit instructions.
#6 Lessening of Boring, Repeated Tasks
Software professionals frequently waste time fixing bugs and doing mundane activities instead of creating and thinking creatively. Atlassian estimates that 69% of developers waste 8 hours or more each week due to inefficiencies in their workflow. Technical debt, inadequate documentation, the build process, and a lack of time for in-depth work are time wasters. AI can handle low-value jobs like debugging, refactoring, or writing boilerplate code, which is a solution to this problem.
#7 More Software Updates or New Products Released
Artificial intelligence coding tools can speed up software development cycles, which could lead to more software and update releases for enterprises. This bodes well for companies that utilize AI in software engineering and are able to keep up with their customers’ ever-growing demands.
AI coding helpers allow for more effective and speedier CI/CD pipelines by removing tedious tasks and freeing developers to focus on high-quality coding. After implementing GitHub Copilot, online banking provider Emirates NBD saw a twofold increase in the number of monthly deployments to production. At the same time, Wayfair’s software engineering teams saw a 55% improvement in environment setup speed after utilizing Google’s Gemini.
#8 More Satisfaction in Development Teams
Thanks to AI, developers no longer have to perform tedious jobs. Because of this, teams can devote more time to collaborative efforts, innovation, and skill development. For example, nearly all engineers think using AI coding tools will improve teamwork. On top of that, most think AI coding tools will help them succeed in the workplace, mainly by improving their skills and making them more productive. You don’t need to argue the “deep learning vs machine learning” debate anymore: you and your team can just benefit from using AI technology.
How Popular Is AI-Assisted Software Development?
The software development community has long been captivated by AI-assisted program development. According to Stack Overflow, as many as 70% of software engineers are currently using or want to utilize AI tools in their jobs. The percentage of developers who have already integrated AI into their professional and personal lives is even greater among developers stationed in the US: 92%. Hence, there is no point in struggling against new technologies: you will acquire much more profit by embracing AI and taking advantage of its numerous benefits.
