Browse AI tools by what you need to get done.
Tools by goal24 step-by-step guides→All categoriesBy goal
Two years ago the honest advice to a non-programmer with an app idea was to find a developer. Today a described idea can become a working prototype in an afternoon, and in some cases a native build submitted to the stores. That is a real change, and it has moved the difficulty elsewhere.
The first version now takes little effort. What remains hard is everything that makes an app survive contact with users: a design that works on a small screen with one thumb, sign-in and data that are secure, behavior on a three-year-old phone with a bad connection, store review guidelines, crash reports at midnight and the support inbox afterward. AI helps with each of these too. Design tools draft whole flows from a prompt, coding agents implement features and open pull requests, testing clouds write tests from plain language and run them on physical devices, and review bots read every change.
If you cannot read the code your tools produce, you are trusting them with your users' data. The stages below include the checks that keep that trust reasonable, and it is worth using them even on a weekend project.
Who this is for Founders and makers building a first app without a full engineering team, designers and product managers prototyping an idea, and developers who want agents to take on implementation, testing and review.
This route suits someone testing an idea before committing to full development: check demand, draw it, build a first version, test it on real phones. Each tool was chosen because its record describes that step for mobile apps specifically.
Describe the idea and read the evidence the research agents bring back before you design anything.
Generate the three or four core screens from a prompt and show the clickable prototype to five potential users.
Rebuild only the flow people understood, connect it to real data and run it on your own phone.
Install the build on a few older iOS and Android devices and walk through sign-up and the main task.
Before building, you check that the problem is real: who has it, how they solve it today, what existing apps get wrong, and whether enough people would install another one.
Runs research agents that read app store reviews, forum threads and reports to gauge interest in an idea, and questions the assumptions in your plan.
AI co-founder workspace that takes a business idea through guided phases with agent-run market research.
Grades a described product idea and produces likely customer reactions, objections and questions before launch.
Free AI tool that scores startup and business ideas and suggests next steps, backed by live founder behaviour data.
Writes a questionnaire from a description of the topic and goal, a way to test a product concept with target respondents.
Survey platform with AI tools that generate questionnaires from a prompt and summarise responses in reports.
The app is drawn screen by screen: the main flows, navigation, states and visual style, linked into a clickable prototype that can be tested before any code exists.
Generates a multi-screen, editable prototype from a short text prompt and converts hand-drawn wireframe sketches into on-screen designs.
AI-assisted UI design tool that generates editable wireframes, mockups and prototypes from text, screenshots or sketches.
Builds wireframes and UI screens from a text description or screenshot and connects them into a clickable prototype without manual linking.
AI-assisted UI design tool for creating wireframes, mockups and prototypes from prompts, screenshots or templates.
Creates every screen in a user journey from a prompt or requirements document, then sends the result to Figma or exports code.
AI design tool that generates wireframes, high-fidelity UI screens and user flows, then exports to Figma or code.
A searchable library of real iOS and web product screens and complete user flows, such as onboarding, to benchmark your own design against.
Searchable library of real web and iOS product screens and user flows, with an AI research mode, Figma plugin and MCP.
Generates wireframes and wireflows for mobile screens from text and maps the screens and decisions in a user flow.
Collaborative whiteboard for diagrams, flowcharts, mind maps and wireframes, with AI generation from a prompt.
For a first version, the app is assembled in a visual or prompt-driven builder that produces the screens, logic and data layer, then previewed on a device and published.
Assembles mobile app screens from prebuilt interface elements with visual logic, publishes to the App Store and Play Store and can export the source code.
Visual development platform for building mobile, web and desktop apps, with AI generation and exportable code.
Takes a text description and uses AI agents to design, build, test and publish a native iOS and Android app.
Agentic app builder that turns a written description into a native iOS and Android app, with tools to run and publish it.
Creates a working app with interface, logic, database, authentication and hosting from a written description, which suits a browser-based first version to test with users.
No-code AI platform that builds apps, websites and AI agents from plain-language descriptions.
Builds web apps from a written description with a live preview and managed hosting, a route when an app that runs in the phone browser is enough.
AI app and website builder that turns plain-language descriptions into working full-stack software.
When the app outgrows a builder, or starts as code, features are implemented in a codebase: screens, state, networking and platform integrations, one reviewed change at a time.
Takes a written request, explores the codebase, produces a plan with tasks and makes the code changes for you to accept or revise.
AI coding agent and editor that plans, writes and reviews code on the desktop, in the terminal and in the cloud.
Reads an issue, writes the change, runs the tests and opens a pull request, working from the terminal or an IDE.
Anthropic's AI coding agent that plans, edits code, runs tests and opens pull requests from your terminal or IDE.
Completes code and generates functions inside the IDE, and gives code snippets, troubleshooting and crash insights for Firebase app development.
Google's AI coding assistant for IDEs and the terminal, sold in Standard and Enterprise editions.
The app is connected to what lives on a server: user accounts, a database, file storage, push or realtime features, and any third-party APIs it depends on.
Gives each project a Postgres database with authentication, auto-generated APIs and file storage, with Flutter and React Native apps listed as a use.
Postgres development platform with auth, instant APIs, edge functions, realtime, storage and vector embeddings.
Provides WebRTC infrastructure and SDKs that add video and audio calls to web and mobile apps.
Developer platform for real-time voice, video and AI agents, built on WebRTC infrastructure and the open-source Pipecat framework.
Links an app visually to Firebase or Supabase databases, to external APIs or to a self-hosted REST backend.
Visual development platform for building mobile, web and desktop apps, with AI generation and exportable code.
Each build is checked on real devices and operating system versions, automated tests cover the main journeys, and every code change is reviewed before it merges.
Installs an iOS or Android build on remote physical devices for manual sessions and runs scripted mobile test suites on a hosted grid.
Cloud testing platform for websites and mobile apps on real browsers and devices, with AI agents across the test cycle.
Turns a description written in ordinary English into executable test steps and runs tests on real iOS and Android hardware.
Software testing cloud, formerly LambdaTest, with AI agents that plan, write and run tests for web, mobile and AI apps.
Reviews every pull request on GitHub or GitLab and posts line-level comments with suggestions that can be committed directly.
AI code review that comments on every pull request, with PR triage, change explanations and security monitoring.
Builds are signed and shipped through a repeatable pipeline, beta testers get early versions, and after release you watch crashes, errors and server health.
Runs build, test and deploy jobs on every change, and a pipeline can build, sign and distribute iOS and Android apps.
CI/CD platform that builds, tests and deploys code, with an AI agent called Chunk and an MCP server for assistants.
Records user sessions in web and mobile apps for replay, with errors and network activity shown alongside for debugging.
Open-source session replay and product analytics suite that can be self-hosted or run as a managed instance.
Monitors the server side behind an app: traces slow transactions across services, watches databases and raises alerts on thresholds.
Monitoring software for application performance, databases, servers, cloud and containers.
The store listing is prepared: icon, screenshots for each device size, a short preview video, and a title, subtitle and description written for search inside the store.
Creates icons and screenshots and prepares optimized store metadata for apps built on the platform.
Agentic app builder that turns a written description into a native iOS and Android app, with tools to run and publish it.
Creates app icons from a short written description, with an editor for adjusting the generated image.
Online AI design generator for icons, logos, stickers, posters, coloring pages, mockups and tattoo ideas.
Generates icons as editable vector artwork in one consistent style and shows a design on mockups to preview it in use.
An AI design tool that generates editable vectors, photoreal images and mockups in a consistent style.
Generates animations of UI mock-ups and text from a prompt, such as a short launch clip with animated app screens.
AI motion design tool that turns a text prompt into an animation for text, logos, charts and UI, exported as video or GIF.
New users are guided through their first session, questions and bug reports are answered, and feedback from reviews and tickets is sorted into what to fix next.
Adds live chat to an app through SDKs for iOS and Android, with AI agents trained on your own help content.
Customer support platform with a shared omnichannel inbox, chat widget, knowledge base and AI agents.
Lets teams build onboarding flows, tooltips and announcements inside the product and run satisfaction surveys linked to usage data.
Product experience platform combining usage analytics, in-app guides, session replay and feedback, with AI agent analytics.
Collects tickets, surveys and reviews into one dataset and classifies the feedback into themes tied to product areas.
Customer intelligence platform that structures feedback from support, sales and market channels for teams and AI tools.
You can get a working first version, yes. Visual and prompt-driven builders produce screens, logic and a backend from a description, and some output native iOS and Android builds. The limits show up later: custom features, performance, security review and maintenance. Plan for a developer to look over the app before you collect real user data.
The stores review the app against their guidelines. Apple's App Review Guidelines ask for features and content that lift an app beyond a repackaged website, an accurate listing, a privacy policy and, where accounts can be created, account deletion inside the app. They also say apps created from a commercialized template or app generation service will be rejected unless submitted directly by the provider of the app's content. Check the current Apple and Google Play rules before you submit.
It depends on what the app does. A browser-based app is quicker to build and update and skips store review. A native app is the better choice if you need push notifications everywhere, offline use, device features such as camera or sensors, or discovery through the stores. Several builders in this guide produce web apps only, so check before you start.
Treat it like code from a fast junior colleague. It often works and sometimes hides mistakes in edge cases, error handling and security. Use automated tests, a review tool on every pull request and real-device testing, and read the changes that touch authentication, payments and personal data yourself or with someone who can.
It depends on the tool's terms, and on copyright rules that vary by country. Some builders let you export source code only on certain plans, and some keep the app tied to their hosting. Check export and ownership terms before you build, since they decide whether you can move later.
Tools are placed in a stage by an editor, from each tool’s own profile. The list grows as more profiles are published. All guides
