ChatGPT: How We Use It for Software Development

With the emergence of various models of artificial intelligence, the capabilities of IT professionals and developers have significantly improved. The connection between developers and artificial intelligence (AI) may seem unusual at first glance, but it is becoming increasingly important in today’s world of technology. There are numerous ways in which AI can assist developers in their projects, from automating routine tasks to improving understanding of user needs.

In this article, you will learn how AI is helping our developers in project creation, and how we at Itera Research are already using it.


Not ChatGPT alone

It is worth noting that there are many AI models capable of working with code. While ChatGPT is the most popular, specialized AI models may dispute its functionality.

For example, GitHub Copilot is an AI built into the GitHub environment that helps developers work on joint projects. It can comment on code, assign tasks among developers, fix errors, and create convenient branches for different program versions.


Open AI Codex – Although this model has a common creator with ChatGPT, Codex can create code, websites, and even complete applications based on textual descriptions. Some extensions support voice recognition, so sometimes you can just say what you need, and the AI will write the code for you.


PaLM – is a specialized AI model used to generate control code for robots. Everything has gone so far that this AI can be embedded in the robot itself, and it will generate behaviour and action models for itself.

All AI models differ in their capabilities and prices: some are free, while others have tariffs with enhanced features.

And this is just a tenth of the popular AI models. Their number is increasing every day.


Add-ons, plugins, and extensions

Since most AI models have open-source code, any developer (and not just developers) can create their own AI based on the ones mentioned above. They can create a variety of plugins, add-ons, and extensions.

Each developer can configure any AI for their own needs and adapt it to any specific task or product.

In addition to programming solutions, AI can be embedded in a task scheduler, turning it into a project manager, or even DevOps.

The possibilities of AI are truly limitless.


Now let’s take a look at some specific examples of how our team has used artificial intelligence. To do this, we’ll use the standard plan for creating an IT product:

1. Market research and product requirements creation At this stage, the team gets familiar with the client’s idea and considers the first steps for its implementation. Regardless of the idea’s complexity, whether it’s an application – a news aggregator, a website, a CRM system, e-learning, or something else, our team conducts a thorough analysis of the idea and its feasibility.

How does AI help in this?

Artificial intelligence provides us with diverse ideas for naming and conceptualizing the product and helps us find a unique feature that would distinguish it advantageously from others. Additionally, AI can analyze a large amount of data and forecast the success of a particular idea. Of course, we cannot be 100% sure, but a plurality of opinions helps.

2. Product architecture, documentation, and design creation Once we have defined the product concept, we move on to creating the blueprints for its implementation: selecting programming languages, technologies, and APIs. Based on this information, we create documentation with a detailed description of the product, its functionality, and other things necessary for proper development. Additionally, we create the external design of the product.

How does AI help in this?

Since it has access to the codebase of hundreds of thousands of projects, AI can recommend programming languages and technologies based on the success of various projects. It also suggests which functions can be created depending on the programming language and how we can implement the product if we don’t have an appropriate specialist on our team.

After that, upon request, AI writes well-structured and understandable documentation. It’s so clear that new developers can be easily integrated into the development process.

AI also helps in the development of UI and UX. Since artificial intelligence have learned to generate quality design systems and interfaces, we can create up to ten different styles of the final product within an hour or take these ideas as a concept design.

3. Development and Testing At this stage, the specific construction of the product takes place, which means we write code, integrate technologies, establish communication between external and internal parts, and check whether everything works as it should.

How does AI help in this?

It can generate code upon request, leave understandable code comments for other developers, improve the code written by our team, and suggest other options for implementing a feature. In other words, AI becomes an almost equal member of the team that helps create a perfect product.

When a version of the product or a separate part is ready, AI can check the code, test it, find and fix corresponding errors. This greatly simplifies and speeds up the development process, as well as makes the product high-quality.

Also, AI can be integrated into the process of automated testing (it can even create scripts for this), after which it collects a large amount of statistical data and creates a backlog of identified errors.

4. Launch and Support When the product is launched, the main goal of our team is to collect and analyse feedback from consumers and promptly update the product, as well as fix bugs if they appear.

How does AI help in this?

AI easily integrates into feedback forms. It receives user feedback, analyses what they liked and what they didn’t, and generates ideas on how to improve the product. Moreover, its structures and classifies all this data well, which helps to process it quickly.


What else can AI be used for?

Its capabilities are almost limitless, but one of its favourite features is chatbots with artificial intelligence. For example, AI can be integrated into a support chat, where instead of a live person, AI will answer users’ questions and give advice on resolving technical issues.

AI can also schedule appointments for people, learn all the necessary information beforehand, or become an assistant in choosing clothes, offering products based on the latest fashion trends or the appearance of popular models on Instagram.

With AI, it’s possible to synthesize speech, which means you can “hire” AI for the position of call centre operator. As we mentioned earlier, the possibilities with AI are almost limitless and depend on your ideas and needs.


To summarize, what advantages does AI provide to us as developers and clients?

  • Fast product creation and iterations
  • High quality
  • Lower costs
  • More creative ideas

Artificial Intelligence (AI) is a revolutionary technology that allows companies to create truly unique products and services and improve the quality and speed of existing technologies.

AI can help analyse user behaviour, develop interactive interfaces, optimize resources and security, as well as generate new content and ideas.

By using AI, companies can increase their profitability, reduce costs, improve their reputation, and meet the needs of their customers. However, AI cannot completely replace humans, but can only assist in their creativity and development.


Humans have a unique ability for self-expression, improvisation, and originality that no machine possesses.

Companies that use AI in their work have greater opportunities to realize their ideas and fantasies.

Thanks to professional experts at Itera Research, AI becomes not only a powerful assistant but also an inspiration for new ideas and solutions. They use AI not as a replacement for themselves, but as a partner for collaborative creativity. Such a combination leads to successful digital products.