Which is the best AI tool for mobile app development?

Which is the best AI tool for mobile app development?


With the revolutionary trends propelling the IT market towards a new phase, every mobile app development firm has started to rely on next-gen technologies to overcome the bottlenecks, foster innovation, and deliver omni channel user experience across all touchpoints. Whether it is the headless architecture replacing monolith or C4C fueling centralized operations, developers integrate these advanced and radical approaches to create the best-in-breed mobile apps. Amongst all these evolving practices, artificial intelligence seems to be in maximum use for mobile app development and deployment. 

As per the recent reports from Statista, the global artificial intelligence market is expected to achieve a whopping revenue of $298 billion in 2024. With such pressing numbers, the role played by AI in fueling the mobile app development process towards betterment can’t be shadowed. On top of this, the availability of numerous AI tools has streamlined the mobile app development roadmap, allowing developers to utilize automation, data analysis, advanced reporting, and many more. Having said that, this following article will illustrate AI mobile application dev tools, their features, benefits, and other relevant facts for all tech buffs.

What is an AI-based mobile app development tool?

Briefly speaking, an AI-powered mobile app development tool utilizes artificial intelligence, data analysis and reporting, automation workflows, and other features to perform complex operations involved with the software development life cycle. These operations are otherwise handled manually, meaning human involvement, risky deliveries, delayed response, declining performance, and several other issues. 

Artificial intelligence development tools empower developers with powerful features and platforms that streamline the development roadmap, generate code snippets, simplify complex algorithms, automate bug detection, and facilitate continuous monitoring. Furthermore, with agile methodology becoming more prominent in every mobile app development firm in India & USA, adopting AI tools for app development will eradicate several pain points in the existing norms.

How does an AI tool for mobile app development work?

Every AI tool launched for mobile app development to date functions differently based on their base frameworks, integrations, and other notable verticals. Here are some examples to understand the overall working methodology of AI-based app development tools.

  • Generating ideas about app features

Straits Research shared a new report, stating the forecasted mobile app market valuation to be somewhat around $583.03 billion by 2030 at a CAGR of 12.8%. The sheer number proves that the market is staged in a way that the industry players need to adopt new features and functionalities to meet the dynamically changing consumer demands and psychological preferences. That’s where AI development tool comes into play. It takes a prompt as human input, like the features that the developer wants to include in the mobile app or a set of researched datasets about the consumers. 

After a thorough evaluation, the tool gives a set of modern and advanced app features as the response. For instance, if you want to develop an entertainment or e-commerce app and ask the AI tool to suggest some feature ideas, it will suggest functions like voice search, barcode recognition, audio transcription, sound analysis, text processing, and image recognition. This way, you can have a basic idea about the entire feature list to be included in the app to be developed. Having the list prepared will streamline the MVP development workflow and reduce time to market simultaneously. 

  • Integrating ML models with the app

Machine learning is often used in conjunction with artificial intelligence to deliver a far more personalized user experience. So, most AI-based mobile app development tools allow developers to integrate built-in or third-party ML models with the app’s business logic layers, microservice-based modules, and service-layer APIs. The models take a huge dataset as input and utilize a powerful and complex algorithm to evaluate the same and generate data-based recommendations for a more accurate and thorough decision-making process and response. 

For example, let’s suppose you want the mobile app to understand the search routines of the users and display relevant products under the suggested tab of the software. You can leverage the AI-based development tool to integrate a machine learning model that takes the search history and user action as input datasets and evaluates the same to generate the required responses. Once a user opens the app and navigates to the desired page, a list of suggested products will be rendered on the UI layer. This way, you can provide an enhanced and personalized user experience across all devices and touchpoints. 

  • Suggesting auto-completed codes and styles

A few AI programmers are capable of generating code and style suggestions based on different input forms as per the base algorithms. For example, you can provide a human prompt stating the function or app feature for which the code needs to be written. The AI programmer will evaluate your request and generate a code snippet for the same in the syntax as per the chosen programming language. Most AI tools capable of this function can be integrated with IDEs or Integrated Development Environments and used to generate codes in major programming languages, such as Java, Python, JavaScript, PHP, C++, and Swift. 

It is important to note here that when you hire dedicated iOS app developers from BOSC Tech Labs, they should have an appropriate understanding of coding and the programming frameworks in use. This is because the AI programmers are usually not empowered to test the code snippets generated and auto-fix the compilation or runtime exceptions, casting problems, null pointers, or any other issues. So, developers need to conduct the first-level unit testing of the codes and fix any compilation or runtime bugs to ensure the code functions properly. 

  • Generating code documentation

Another key functionality that makes a tool the best AI programmer for mobile app development is code document generation. In most projects, developers need to prepare a full-scale report or document on the codes written, explaining the purpose of each method, their calling and business logic, the implementation and declaration workflows, DAO files, and several other facts. Performing these tasks not only consumes a lot of time but also paves the way for errors and inaccurate documentation due to manual work involvement. 

That’s why relying on an AI-based app development tool featured to generate code documents automatically is a radical approach for this fast-paced IT market. The AI tool needs to be integrated with the IDE or development framework. It then scans and evaluates the code to generate a highly accurate and to-the-point document with a detailed explanation. First, the entire process is automated, which reduces the time and effort from the human side. Second, the accuracy and precision levels are optimal, meaning negligible mistakes in the documentation. 

  • Building real-time computer visions

AI is extensively used in the gaming industry, where the technology allows developers to implement logic for virtual and augmented reality, metaverse, real-time monitoring, and so on. Considering this, the ability to build real-time computer visions makes an AI programmer the best companion for any mobile app development firm involved with the gaming industry, even though it has no domain-specific constraint. Once you integrate the tool with your developed mobile app, the AI bot scans and processes the visual data in a real-time framework and generates relevant information. 

For instance, the tool will help you to develop a mobile app where the names of real-time visual objects like trees, people, buildings, and so on can be rendered on the UI for an immersive user experience. Furthermore, it can also help you build a robust facial recognition security layer for the mobile app, integrate gesture recognition features for automatic UI movements, and so on. 


AI programmers are extensively being used for designing and developing cutting-edge mobile apps. Besides, they can be integrated with IDEs, ML models, and other tools and frameworks used in software development to streamline the workflow and generate accurate results through automation and data analysis. So, if you want to become an ace in the mobile app development market, migrating from conventional tools to AI-based developers is highly suggested. However, ensure to hire android expert  or iOS expert who has industry knowledge about different programming languages and frameworks so that the AI programmer can be utilized to the fullest. 

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