AI-Generated Code: Is It Ready to Go Live?

Artificial Intelligence become so advanced that it writes programs as well as texts. Today, it positions itself as a generative AI developer assistant that performs simple tasks and reduces work time. In this article, we’ve analyzed the most frequently asked questions from businesses about AI and its capabilities. Can AI write code? Are there any risks in the generated code? What business benefits will such a development bring? You’ll find answers to these and other questions in the following sections.

How is generative AI changing the way developers work?

Generative AI has already radically changed development processes. Speaking directly, several AI tools are used in all workflows today. Why is this happening? Because users of digital products are raising their expectations and want to see a new product in a shorter timeframe. That’s why we’re watching a global transformation in the development industry that brings more value and satisfies customers’ needs. Does AI replace the work of developers? Definitely not. Does it help? We are sure that it does.

So, what exactly has changed with the arrival of AI technology in the process of developing high-tech products? First, the speed of the development process. Today, teams can create tasks for AI, based on which it writes code for basic functions. At this time, developers focus on more complex tasks and product improvements that require more time and creativity. 

The next task that AI can perform together with the development team is code optimization. How it works: AI analyzes a large amount of project data, offers optimal solutions to improve the code, and corrects mistakes. This significantly increases the efficiency of both the product itself and the work on its creation, as well as reduces the risk of bugs. In this regard, it’s an excellent assistant and offers really working and effective solutions that affect the quality of the project.  

AI also demonstrates creative skills in design. It can offer ideas for the interface, and the structure of the future product, and even suggest a set of functions based on the analysis of user needs. It doesn’t replace the designer’s work, but it gives useful recommendations on how to create a convenient user experience. 

As you can see, AI technology helps development teams in a variety of scenarios and processes. It’s worth looking at it not as a labor substitute, but as a creative assistant that greatly helps to speed up workflows and influence the quality of the finished product. 

Why do business owners not trust AI-generated code?

Despite the success of AI in the digital sphere, some company executives still don’t fully trust its work. Especially when it comes to writing full-fledged code for a project. What’s up with that and why do managers worry so much? There is a concern around lots of businesses that AI can make significant mistakes when writing code that will be challenging to detect and correct in time. Of course, development teams approach this process creatively and responsibly, as humans should, but AI is also capable of writing high-quality stuff. 

Also, many people believe that AI uses template solutions rather than coming up with creative options as humans do. Perhaps it lacks the intuition to create innovative products. However, it’s worth remembering that AI writes code based on a task prescribed by developers and includes all the key recommendations and requirements for the final result. 

The next area of concern is cybersecurity. Some businesses believe AI-generated code isn’t secure and that all the data used to write it can be stolen. These concerns are understandable, as data protection and cybersecurity are critical aspects for modern companies.

Despite the development of AI and its contribution to the IT industry, many entrepreneurs perceive it as a novelty. They are patiently waiting for the results of AI work to stand the test of time, and only then they will be able to trust its decisions. They also believe that people have a better understanding of business specifics and can adapt to changes in the process of work faster.

But the fact is that while some are waiting, others are successfully implementing AI solutions in their projects and getting significant business benefits. Perhaps in a few years, when Artificial Intelligence demonstrates its reliability and safety, it will have more supporters who will trust its work. 

Will businesses use AI-generated code in 2024?

Even with a watching-out attitude towards the latest AI capabilities, businesses are still planning to use it in their operations in 2024. Many entrepreneurs realize that AI technology is the future of the digital world. It’s worth embracing it today to be able to handle changes better in the future, understand its features, and make the most of them. Speaking specifically about AI-generated code, businesses will use it for several reasons. Here they are.  

Efficiency and speed

AI automates routine tasks that developers let them perform. This significantly reduces working time and doesn’t distract from large-scale tasks. For companies, this means the ability to launch products on the digital market faster, which is a significant competitive advantage.

Cost optimization

Using AI capabilities to write code significantly reduces development costs. The given solution lowers the need for a large number of manual processes. This is especially important for startups and small businesses that have small budgets and seek to cut costs.

Improving code quality

The development of AI goes on all the time, and its creators are constantly striving to improve this technology. Therefore, it can already analyze large amounts of data, automatically correct mistakes, and offer the best solutions for optimizing and improving code. 

Integration into development tools

In 2024, vast software development platforms are expected to introduce built-in AI tools. This means that there will be no need to teach AI to adapt to existing developer tools. It will already be configured as part of the system that creates code for programs. This will increase the efficiency of developers greatly.  

Customized solutions

AI technologies are predicted to become more adaptive, allowing the creation of code customized to specific business needs. Thus, industries such as e-commerce, financial services, or logistics will be able to take advantage of AI capabilities, as it will be based on the business needs of each individual niche.

The biggest myths about AI-generated code

There are a lot of myths about AI among developers and entrepreneurs. Some of them are logical, while others are more peculiar. We assume that companies should practice using AI to draw certain conclusions from their experience. For now, here are the most well-known myths about AI-generated code and AI itself.

AI will replace all developers

This is one of the most widespread myths. It’s already known that AI can automate some routine tasks and generate code. At the same time, it cannot completely replace human experience, creativity, and intuition needed to solve complex technical issues. The role of developers is changing slightly, but their need doesn’t disappear. 

AI writes code completely without mistakes

Another myth is that the code created by AI is totally perfect. In fact, AI can also make mistakes if the source data or instructions are incorrect. Code review and testing are still important steps. 

AI can’t create complex programs

Some people believe that AI can only create simple or template code. Basically, this is a correct statement, as AI is currently writing code for basic program functions. But looking at how fast AI learns, there are predictions that it will be able to generate more and more complex solutions, especially if it’s provided with high-quality data.

AI works independently

There is a myth that AI fully automates software development. We have some doubts about this. To create a high-tech product, AI needs the support of a specialist or developer. They prescribe the technical code requirements, the structure and logic of the project, as well as control and test the generated code. Therefore, AI doesn’t work independently.

Using AI is dangerous for data security

Cybersecurity and data protection are top priorities today. That’s why companies are wary of AI because they believe that its use could jeopardize the security of their code or data. In reality, AI can even detect security risks and give recommendations on how to protect data and improve the code itself. The key is to establish proper controls over AI, just like any other tool.

What’s the best way to use AI-generated code in 2024?

To get an effective product using AI-generated code, it’s worth combining its efforts with the manual work of developers. This way, the chances of success are doubled, and the work will get done sooner. To be more specific, in 2024, it makes sense to gradually integrate such code into workflows.

We’ve already mentioned that AI generates code for basic functions. Developers only need to test the code and check it for compliance with security standards. Additional hours that AI provides to developers can be spent on creating more complex functions. This is a basic solution for the application of AI-generated code.

Keep in mind that AI generates code based on trends and relevant data in the development field. If this technology is constantly trained to learn new behavioral models according to the business needs, further generated codes can be adapted to more complex functions. 

To summarize, today such code finds its perfect application in simple and routine tasks. Even if it won’t write a complex program for you yet, it will significantly increase the development team’s efficiency and speed up the workflow as well. With more attention paid to AI training, you’ll be able to build more sophisticated programs in the future.

Can AI-generated code be risky for businesses?

Since AI can only write simple codes and create basic program functions, its use in more complex projects can cause some difficulties. Therefore, if you’re planning to build a complex, efficient product with a competitive edge, you should consider AI’s limits. Let’s briefly go through the points that can be sensitive for businesses when using AI-generated code on large-scale projects.

• Code quality: AI today can create simple code for simple tasks. If you ask it to create a more complex project, it can generate either overly complex or inefficient code that will take much longer to test. 
• Security: For complex code, AI may not take into account modern security standards. As a result, the code may be unsafe and require more thorough testing, which will also take a lot of time.
• Lack of creativity and business understanding: AI learns to generate code based on certain trends in specific industries. But to create a product that meets the individual needs of a business requires creativity and logic that only humans can do. Therefore, AI can only use template solutions that may not fully meet the original business needs.  

Artificial Intelligence still has a lot to learn to create complex and multifunctional products. As a precaution, it would be a good idea to add human controls and validations for now. This kind of cooperation will be more productive and profitable.

How does AI-generated code benefit businesses?

Although AI is still at the beginning of its development in the field of code creation, it still has certain business benefits. Under the development team’s control, this technology becomes a powerful tool and assistant that helps to create high-quality products. So, what benefits can businesses expect from AI-generated code? Check them out. 

• Optimization of routine tasks: AI is perfect for tasks such as creating template code or testing. This frees up a lot of time for developers and allows them to solve complex and creative tasks. For businesses, this means quicker development and a faster time to market.
• Increased productivity: Using AI allows you to create more code in a shorter period of time. This increases the overall team productivity and makes it possible to take on more projects. Even if you consider the time to check the written code by AI.
• Cost reduction: AI automates many aspects of development and routine tasks. Thanks to this, businesses can reduce the cost of employee time and speed up the introduction of new features.

With the right use of even minimal AI capabilities, you can already benefit from it, speed up your workflows, and continue to learn along with it. In the future, this will double the benefits of using AI, because it learns new things quickly, and you will definitely need to adapt to its changes and updates.

Our experts’ tips for using AI-generated code

Since we have experience with various AI tools, we have what to say about their performance. Speaking of AI-generated code, we’ve got a few tips to make it work more efficiently and the end product better.

First, integrate AI into your workflows as a tool, not as a replacement for human labor. It can speed up certain processes, and write simple code, but the development team will still have the last word and validation. We also recommend conducting additional code audits to ensure its functionality and check its ease of maintenance.

Leave creative and complex tasks to development teams, as unique solutions and business needs are best handled manually from a human perspective. Instead, AI can handle all the routine and template tasks. So, start integrating AI into your work to be able to adapt to its changes and new level of knowledge in the future, which may allow it to create more complex projects. 

At TRIARE, we have experience working with projects of various sizes, using AI tools. Our knowledge and team’s expertise will be a valuable contribution to the success and viability of your future project.

Conclusion

AI has a huge potential to become an indispensable tool for complex projects in the future. For now, it’s an excellent assistant for routine tasks, which is very helpful for developers. If you have no experience with AI-generated code, you should start learning more about this technology. Today it offers limited functionality, but tomorrow it may become a vital tool in the digital market. Adapt to future changes and stay ahead of the competition. 

As your trusted partner, the TRIARE team will help you go through the transformation and integration of AI-generated code quickly and efficiently.