Generative AI is impacting many work areas and we have already seen all that can be done with ChatGPT, DALL-E, among others.

Today, using artificial intelligence, you can draw, write articles, create songs, translate in various languages, among other things, through the many tools that have emerged.

At Zenta, as technology experts, we firmly believe that the use of these technologies can help boost businesses and their commercial objectives.

One of the areas benefiting from generative AI is software development. Indeed, developers now have tools that help them be more efficient and effective in their daily work.

What are these tools?

These are AI-assisted coding systems, which have the potential to significantly improve the work of developers and have a positive impact on the evolution of businesses in commercial and investment terms.

Our innovation team has conducted extensive research on the use of artificial intelligence to assist software developers with everyday tasks, and we are currently implementing a phased rollout plan across development teams, utilizing the following tools:

• Github Copilot This tool automatically generates working code based on examples and developer comments, which undoubtedly speeds up the coding process.

Additionally, engineers can take advantage of these suggestions and complete the code more quickly, resulting in increased productivity and faster project delivery.

• Code Whisperer: It is an AWS service based on Machine Learning (ML) that helps improve developer productivity by generating code recommendations, based on their natural language comments and code in the integrated development environment.

• ChatGPT: This popular tool can automatically generate code based on natural language, saving time and resources in the software development process.

What have we achieved using these tools?

• Improve code quality: Copilot is trained with a wide range of code repositories and good programming practices, which allows for fewer errors and greater reliability of the developed software.

• Reduce cognitive load: Using these tools reduces the cognitive load for developers by eliminating the need to remember complex syntax, functions, and structures. This, in turn, allows them to focus more on business logic and creative challenges, reducing the time spent on more technical and repetitive tasks.

• Increase collaboration and learning: They allow us to help level the playing field in a team's knowledge and technical skills, providing guidance even to less experienced engineers. Furthermore, they offer the opportunity to acquire new skills and knowledge during the development process.

But that's not all; by implementing these technologies, we have compiled a series of statistics that will motivate you to incorporate them into your business.

In the time we have been using these types of tools, we can say that developers found the generated suggestions useful about 40% of the time.

In 60% of cases, users report that using Github Copilot reduces development time by up to 50%.

These figures reflect the significant impact on the efficiency and quality of our developers' work, which in turn has positive business and investment implications for the results delivered to our clients.

All of this also allows us to launch products and services to market faster, which definitely becomes a competitive advantage.