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Top 15 AI-based solutions for accelerating mobile development

Top 15 AI-based solutions for accelerating mobile development

Top 15 AI-based solutions for accelerating mobile development

In the past, developing a mobile app meant months of coding, lots of coffee, and a budget comparable to buying a nice car. Now, with the increased accessibility of AI and no-code/low-code solutions, developing a full-fledged app takes only two to three weeks and doesn't cost a fortune.

AI recognizes patterns, learns from its own mistakes, and suggests new ways to solve problems. It writes code, automates testing, selects interfaces, and even predicts where bugs might occur. It seems that soon programmers will no longer be needed at all. But this is an illusion.

I'll write it all myself! Why is AI necessary for development?

Not only programmers argue about this, but also designers, marketers, and copywriters. Many view AI with caution and negativity, even though we all use it every day in our daily lives and services.

Our front-end developer Anton, for example, tried his hand at game development for the first time. Instead of spending a week studying documentation for a framework that was new to him, he saved a lot of time. Anton got ready-made working examples, didn't catch a «squirrel», quickly figured out the logic of the engine, and after just a couple of evenings, he made a prototype of the game for the client.

Anton received code samples for displaying sprites, configuring object falling, collision handling, and a life counter. 

This is an example of how AI acts as an assistant to developers, helping them immerse themselves in the subject and speed up the resolution of routine tasks. But in addition to ChatGPT and similar platforms, there are systems that can automatically test code, generate interfaces, optimize application architecture, and much more.

LighTech about AI in mobile development
With these tools, you can build a minimum viable product (MVP) in a few weeks instead of months. Businesses will have the opportunity to quickly test their hypotheses, verify the viability of their product concepts, and determine their value to users.

4 Types of intelligent platforms in mobile development

Today, AI tools in development can be roughly divided into several types. They differ in their level of automation — from assistance in an IDE (integrated development environment) to generating entire applications with a single prompt.
Types of AI platforms for mobile development | LighTech

These are «smart assistants» right in the IDE. They suggest lines of code, find bugs, and write tests. Example: GitHub Copilot, which can write entire functions and save hours on routine tasks. These assistants speed up the work of experienced developers, but they don't replace them, leaving room for expertise and architectural decisions.

Interface of GitHub Copilot

The code is still there, but AI and visual editors take care of some of the routine stuff. The developer builds the application from ready-made blocks and adds complex business logic manually. An example is FlutterFlow, where you can build a mobile application prototype with authorization and payments in a couple of days, instead of spending weeks writing everything from scratch.

Interface of FlutterFlow

They allow you to create applications without any programming. Everything is built on drag-and-drop or text descriptions, and AI selects the necessary «building blocks». For example, in Glide, you can turn Google Sheets into a full-fledged mobile application for order tracking or CRM within a company in just an hour. This approach is ideal for startups and internal projects.

Interface of Glide

These platforms understand natural language. Base44 is one of the most recent and successful projects of 2025, which is already preparing for integration into Wix following its recent acquisition.  

Its unique feature is that it allows you to turn a text description into a full-fledged application: you write «I need a marketplace with a shopping cart and payment», and the system assembles the front end, back end, database, and deploys everything in the cloud.

This is known as vibe coding: the developer sets the overall mood and goal of the product, and the AI picks the tech to make it happen. It's a new way of working with code, where an idea turns into a working prototype without a bunch of steps in between.

Interface of Base44

For clarity, we submitted a request to Base44 to develop a platform for team collaboration similar to LighTeams. Within a few minutes, the system generated a ready-made interface, as shown in the screenshot: with a dashboard, a list of projects, tasks, and the status of each area. Everything can then be edited to suit your needs — you can change the structure, roles, visuals, and logic of the application directly from the constructor.

Below, we have gathered the top platforms that help mobile developers speed up their work and implement AI into their work.

Top 15 AI tools for mobile development

Tool

Benefits

Suitable for

GitHub Copilot (with Gemini 2.5 Pro)

Classic of the genre: suggests code directly in the IDE, now even smarter thanks to integration with Gemini 2.5 Pro

Everyone who writes in popular languages (JS, Python, TS, etc.)

TensorFlow

An open-source platform from Google Brain that has become the standard for machine learning. 

TensorFlow enables the creation of large-scale neural networks, the processing of streaming data, and the application of differentiable programming.

Developers who want to integrate complex AI models into their applications and projects.

Thunkable

Drag-and-drop builder for mobile applications. AI assists with logic, interfaces, and error checking, accelerating the process of development and testing.

Beginners, startups without programmers.

Uizard

Turns design drafts, sketches, or prototypes into working interfaces.

Поддерживает автоматическое создание UI-компонентов и экспорт в код.

Designers and product managers who need to quickly test an idea.

Snyk

Automatically scans code and dependencies for exploits, suggests patches, and monitors project security.

Teams where safety comes first.

Create.xyz

Generates working code based on a text description: just write «create a chat with authorization» and you will receive a prototype of the application.

Quick brainstorming.

Shoutem

A platform with a variety of ready-made templates for different types of mobile applications: restaurants, educational platforms, etc.

Supports offline features, including interactive maps that work without an internet connection.

Small teams, startups, and businesses that want to quickly launch an app with ready-made templates and basic features.

Azure Machine Learning Studio

A cloud platform from Microsoft that simplifies the development, testing, and deployment of AI solutions.

Using the drag-and-drop interface, teams can build predictive models, integrate them into applications, and automate analytical processes without diving deep into code. 

Companies that want to use AI without a large team of developers.

Softr

Creates interfaces from Airtable and Google Sheets, allowing you to quickly assemble internal dashboards, CRMs, and simple applications. AI assists with logic and interface configuration.

Creating lightweight CRMs and internal dashboards.

Microsoft Power Apps (с AI)

A corporate low-code environment for creating applications. 

AI accelerates screen design, business process automation, and integration with the Microsoft ecosystem.

Companies where everything is tied to the Microsoft ecosystem.

Quickbase Smart Builder

An enterprise platform for building complex workflows and business applications. 

AI helps automate logic and optimize processes.

Companies with many processes.

Reflex.build

Python-first AI builder: frontend and backend are created in a single ecosystem.

AI generates the application framework, accelerating the development of clean and scalable code.

Engineers who want «clean code with AI magic».

Replit Agent

Creates and deploys an application directly in the browser according to the description.

Supports collaboration and rapid prototyping.

Freelancers, start-ups, students.

VibeCode

A new trend is «vibe coding»: you can build an app from your phone just by describing it in words.

Those who want to create on the go.

Google Stitch

Converts text requests and design sketches into finished UI and front-end code.

Supports the generation of interactive components and integration with existing projects.

Designers and front-end developers working with prototypes.


 

What AI do we test at LightTech

We don't limit ourselves to theory; we also keep an eye on the practical application of AI in development. Currently, we are actively testing two powerful tools:  Expo with AI features and Bolt.
 

Expo with AI assistant

Interfaces of Expo AI

Expo has long been recognized as a convenient framework for React Native development. Recently, AI integrations were added, which changed the process.

  • The AI provides a suggestion for a ready-made screen structure. For instance, if a developer needs to create a profile screen, the system immediately offers a framework with an avatar, fields, and an edit button.
     

  • Smart choice of UI patterns — the assistant suggests the most appropriate components (tables, forms, buttons) based on the scenario.
     

  • Saving time on routine tasks — If earlier you had to manually throw together a rough draft of the interface, now AI generates it in seconds.
     

  • Built-in optimization — the code is not only generated, but also checked for compliance with Expo best practices.

For the team, this means less time spent on prototyping and more energy devoted to developing business logic. Expo with AI becomes a kind of «quick start» for React Native development.
 

Bolt — text-based interface generator

Interface of Bolt

Unlike the AI assistant in Expo, which helps speed up development within a ready-made framework, Bolt automates the process of creating interfaces. It is a tool that turns a text description into a full-fledged screen on React Native.

Just enter a query like:

«Build an authorization screen with a login, password, and login button»

In a few seconds, a finished screen appears with well-thought-out typography, colors, and layout — not a template made up of gray blocks, but a realistic mobile interface. Bolt uses a library of up-to-date UI components and creates a visually complete design that can be immediately demonstrated or refined manually.

Bolt is useful for the development team during the rapid prototyping and hypothesis testing stages. An idea is described, and the system immediately visualizes it on the screen. This approach saves time on design, helps evaluate UX solutions, and allows the concept to be agreed upon before full-scale development begins.

The code generated by Bolt remains open and editable. It can be integrated into your current project, connected to an API, or used to replace components. Thus, Bolt acts not as a replacement for developers, but as an accelerator that allows you to move faster from idea to working interface.

Pitfalls

In practice, things are not as simple as marketing presentations promise. Yes, AI can assemble an application in a couple of days, but more often than not, it is just a framework that needs to be refined and customized for specific tasks.

First, there are so-called «hallucinations» — when the neural network generates beautiful code that does not actually work or breaks the logic of the application.

Secondly, even the most user-friendly AI constructor requires expertise: APIs, databases, authentication, and integrations still remain the responsibility of the developer.

Finally, no AI can replace testers and analysts. They are the ones who check the product for compliance with platform requirements, real-life usage scenarios, and UX quality.

Where does AI perform excellently, and where is it impossible without humans?

AI covers routine tasks brilliantly. It can generate ready-made components, automate testing, select UI patterns, and even optimize descriptions for the App Store and Google Play.

Tools such as GitHub Copilot, Claude, and Tabnine offer suggestions directly in the IDE, while services such as Uizard and Sketch2Code convert interface sketches into ready-to-use code. Localization has also been automated for a long time: Lokalise and Transifex translate texts into dozens of languages, taking context into account.

However, at each stage, there are still tasks that cannot be accomplished without the expertise of the team. Application architecture, development strategy, business logic, non-standard scenarios, and debugging are the «remaining 20%» that determine whether the product will be successful. If this is neglected, the application becomes a «black box». It seems to work, but it's scary to touch.

Frequent questions

Can AI completely replace mobile app developers?
How much time can you save by using AI tools?

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