generative ai in application development

How Can Generative AI Help In Application Development?

Generative AI has revolutionized the way we write content, design, and animate, but how does it change application development? This blog reveals the game-changing role of Generative AI in app development, from mitigating challenges in development to revolutionizing UI/UX design and assisting in various facets of app development.

We have been seeing increasing technology adoption across various industries. AI is at the forefront of this technology adoption, and it has been instrumental in transforming and automating various processes. Out of the trends and roles AI played in digital transformation that we have witnessed in the recent past, Generative AI has garnered lots of attention, and it has redefined many industries.

It’s about the summer of 2022 when nobody even thought that an AI-generated image (“Twin Sisters in Love”) would win an art competition. Eventually, it did!

ChatGPT – our go-to Generative AI platform created by OpenAI, created havoc in the virtual world with its debut and reached one million user subscribers in just a matter of 5 days without any prior user base. It has also been recorded as the fastest-growing platform with an active and repetitive user base. Well, it’s just one of many!

From getting help in creative content generation to design ideation, Generative AI is pushing the boundaries of innovation. While it gives you formidable results by just entering a prompt, can it help in coding or resolve coding issues? That’s a question that needs to be answered. Let’s see if generative AI can assist in application development.

Well, this blog is all about that. Explore as we delve into the depth of utilizing Generative AI for app development.

Which Challenges Generative AI Solve In App Development?

Just like Google executes our queries and provides references to refer to our information quest, Generative AI is more like an artificially intelligent brain that generates content or provides information based on the questions asked and data it has been trained on.

Now, the question is, when used for application development, how does Generative AI solve the challenges associated with it?

So, generative AI can assist developers in mitigating the following challenges:

  • Reduces barriers for new developers to easily adapt to new technologies
  • Onboarding large groups of developers to work alongside Generative AI to be extra productive and less dependable on senior or other developers for further guidance
  • A fine-tuned Generative AI model for coding trained upon your legacy code framework can help you maintain your adopted coding standards
  • It also helps to improve the technical due diligence
  • It can also reduce the number of bugs since the code is machine-generated and generated based on outlined coding standards.

Ways Developers Can Leverage Generative AI in App Development

Just as creative professionals benefit from productivity boosts and an additional creative hand, developers also require a logistical and advanced mind to swiftly address their logic-related complexities. This is essential to enhance their productivity and minimize the time to market for products.

According to Gartner reports, in the past year, approximately 45% of the organizations surveyed have scaled their investment in Generative AI, with 22% spanning across three business functions. Out of all functions, they have shown a high level of investment in Generative AI for software/application development, followed by marketing and customer service.

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So, below are the ways Generative AI can be helpful in app development:

IT Project Pre-sales & Project Management

After using ChatGPT, one thing we all know is that Generative AI can be an invaluable assistant that can help pre-sales and project management teams in various ways.

Whether analyzing problem statements, competitor data, brainstorming for new possibilities, or cost estimation based on company framework, along with planning app development processes, generative AI enables the project management team to focus on clients’ problems and derive solutions efficiently.

Generative AI in a Creative Process

App UI/UX design is process-intensive, in which designers have to prioritize and take care of many things. These design considerations include a selection of color schemes, graphics (vectors/images), icons, placements, and a lot more design assets that can offer a better user experience.

In the domain of design, many generative AI tools boost a designer’s creativity with just a basic understanding of how to use AI in UI/UX design. So, there is no one-size tool that fits all, surely many tools designers can leverage:

  • Khroma to generate colour palettes by selecting a few colours they are interested in using for the design;
  • Uizard for creating app design layouts by giving prompts explaining project type in simple English;
  • Framer has an AI design system that allows designers to generate website layouts based on the provided text description, such as style, functionality, and content. If not a full-fledged design solution, it surely creates a starting point for your design. It also has an AI-powered responsive layout feature that can analyze your website content and automatically generate responsive layouts that adapt to different screen sizes and devices.
  • VisualEyes is an AI-powered design feedback tool that analyzes your UI design and provides feedback to improve it wherever possible. It simulates eye-tracking and preference tests and analysis design in three categories – Attention Map, Clarity Score, and Areas of Interest, to provide feedback.

Apart from these, designers can leverage many such Generative AI design tools available in the market as their productivity booster and deliver an elevated user experience.

Though many big players exist in this Generative AI-powered design tools, businesses planning to enter this competition do have spaces to cover and rule the market by creating superior tools with the help of MindInventory’s Generative AI development team.

Assist In More Than Just Code Generation

Many developers have used Generative AI tools to generate code with logic whenever they are stuck. With the use of Generative AI, developers get assistance with:

  • Explaining code functionalities for maintaining or upgrading the app with what developers are less familiar with.
  • Assisting in understanding programming language classes or libraries of code for specific requirements.
  • Generative AI trained on specific coding standards and frameworks enables developers to refactor code and improve it with improved code consistency with explanatory comments. 
  • Offers less complex code alternatives to simplify the code base and further ease developers’ efforts in future maintenance.
  • Whenever developers are stuck somewhere, generative AI for code generation offers a logical hand in solving it quickly.
  • Helps developers write code beyond templates and even effectively use stub code for new tasks.
  • Experiment with code to try out new features and functionalities in the app to offer unique prepositions and better app performance.
  • Code translation from one programming language to easily migrate the app codebase into high-performing languages that offer better customization and performance.
  • Most importantly, to find bugs and solve them to compile and run the code successfully.
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Custom Feature Implementation and Personalization

Many business apps should have customer support channels. While using Generative AI for app development, apart from code generation, what else would be the greatest use case than an AI-powered chatbot? Nothing, right?

Here, businesses can use the potential of Generative AI in creating chatbots that offer personalized experiences to customers seeking information.

Even in chatbots, there are different types, Generative AI helps to achieve. Our expert AI/ML team can help you build Generative AI solutions like Autonomous AI agents, Multi-Modal Virtual Assistants for better customer support, Advanced Conversation Intelligence, and other custom solutions.

Test Case Automation

Be it generating code or reviewing it to find bugs and loopholes in the code, Generative AI can assist in both. Generative AI trained on different software testing and quality assurance use cases and integrated with Robotic Process Automation solutions can assist QA engineers in generating test cases based on specifications, requirements, or historical data. It reduces the manual effort required for creating test scenarios.

But to train Generative AI on such specific data, you need to opt for data science solutions to prepare specific datasets to fine-tune your GenAI models accordingly.

By leveraging generative AI in application testing, organizations can improve testing efficiency, enhance test coverage, and reduce the manual effort associated with various testing activities. It ultimately leads to more robust and reliable software applications.

API Documentation

Generative AI can play a significant role in API documentation for app development, streamlining the process of creating and maintaining comprehensive and user-friendly documentation. For this, it would require code annotations, comments, and API code used for the app development.

NLP models used in the architecture of Generative AI can interpret code comments and descriptions. This helps it convert technical jargon into clear and understandable language for developers and API users. If given better inputs, it can create interactive elements in the documents, such as code snippets, try-it-out functionalities, and live examples that make your documentation more engaging and user-friendly.

By using Generative API in the API documentation process, organizations can save time, ensure consistency, and enhance overall user experience. Of course, it would need the supervision of a technical writer for the same, but it will indeed boost the team’s productivity.

Where MindInventory Helps In

Just like Artificial Intelligence with its commence, generative AI has also created a great influence on businesses and their various functions, of which application development was one. Of course, it has brought many benefits to developers’ platter and helped in revolutionizing the way they work.

As an enthusiastic advocate for the power of AI/ML, MindInventory is positioned to be the top choice for a Generative AI development company for businesses harnessing the potential for various use cases. With our deep knowledge and experience in working with Artificial Intelligence development and natural language processing, we assist businesses in strategic development, technology selection, and development of Generative AI solutions, along with ongoing support to stay relevant as per changing trends.

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Frequently Asked Questions

What challenges may arise when using generative AI in application development?

With many benefits, Generative AI also asks for considerations due to certain challenges, including ethical and legal concerns, complying with data privacy, a good budget to maintain the AI solution and mitigate ongoing challenges, integrating generated code with existing codebase, and a few more.

How much does it cost to develop an app using AI?

Well, developing an app using AI can be more cost-effective than a manual approach. However, the cost of developing an app using AI may depend on factors like scope and complexity, features and functionalities, integration requirements, expertise and location of the talent you hire to work on your project, and further requirements for ongoing maintenance and update.

What are the best practices for leveraging Generative AI in app development?

To leverage Generative AI in app development, AI developers should consider best practices, including defining clear objectives for incorporating Generative AI into the app, understanding limitations and choosing the right Generative AI model, ensuring high-quality and diverse training data, fine-tuning generative AI as per your app development requirements and required coding standards, and compliance with regulations.

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Kumarpal Nagar

Kumapal Nagar is a Python team lead at MindInventory, a certified ethical hacker and proficient in AI/ML and cloud computing platforms, specialized in creating innovative, secure, scalable, and robust performing digital solutions using cutting-edge technologies. With his passion for always being up-to-date with AI/ML advancements and experimenting with AI/ML, he set up a proven track record of success in helping organizations leverage the power of AI/ML to drive meaningful results and create value for their customers.