Ai Coding Tools

How to Build and Deploy Your First App in 60 Minutes Using AI Tools

By BTW Team4 min read

How to Build and Deploy Your First App in 60 Minutes Using AI Tools

Ever felt overwhelmed by the idea of building an app? You're not alone. Many indie hackers and solo founders get stuck in the planning phase, thinking they need to be experts in coding or design. The good news? In 2026, AI tools have made it possible to build and deploy your first app in just 60 minutes. Yes, you read that right. Let’s walk through how to leverage these tools effectively, even if you’re starting from scratch.

Prerequisites: What You Need Before You Start

Before diving in, make sure you have:

  • A computer with internet access
  • Basic understanding of app concepts (no coding required!)
  • An idea for your app (even a simple one)
  • Accounts set up for the tools we’ll use

Step 1: Choose Your AI Coding Tool

There are several AI coding tools available, but not all are created equal. Below is a comparison table of some popular options you can use to kickstart your project.

| Tool Name | Pricing | Best For | Limitations | Our Take | |------------------|----------------------|------------------------------------|-------------------------------------|--------------------------------| | OpenAI Codex | $0-20/mo | Code generation | Limited to text-based coding | We use this for quick prototypes. | | Bubble | Free tier + $25/mo | No-code app building | Can get complex for advanced features| We don’t use it for large projects. | | Adalo | Free tier + $50/mo | Mobile app development | Limited customization options | Good for MVPs but not for scaling. | | Thunkable | Free tier + $30/mo | Cross-platform development | Performance issues on complex apps | We like it for simple apps. | | Appgyver | Free | Rapid app development | Limited integrations | Great for testing ideas quickly. | | Retool | $10/user/mo | Internal tools | Pricing can add up with users | We don’t use it for external apps. | | Mendix | $0-50/mo | Enterprise-grade apps | Steeper learning curve | Overkill for simple projects. | | Glide | Free tier + $29/mo | Simple web apps from spreadsheets | Limited functionality for complex apps| We use it for quick prototypes. | | FlutterFlow | Free tier + $30/mo | Building Flutter apps | Requires Flutter knowledge | Good for experienced developers. | | Voiceflow | Free tier + $15/mo | Voice app development | Limited to voice interfaces | We haven't used it, but it’s interesting. |

Step 2: Design Your App Interface

Once you've selected your tool, it’s time to design your app. Most AI coding tools offer drag-and-drop interfaces, making it easy to create a user-friendly design without coding.

Expected Output:

  • A basic app interface with your desired features and layout.

Step 3: Implement Core Features with AI Assistance

Now, let's add functionality to your app. If you're using a tool like OpenAI Codex, you can generate code snippets to implement features such as user authentication, data storage, or API integrations.

Expected Output:

  • Core features functioning in your app, ready for testing.

Step 4: Test Your App

Before deployment, it’s crucial to test your app. Most tools allow you to run a simulation or a live preview. Ensure everything works as intended.

Troubleshooting Tips:

  • If features aren’t working, check for errors in the code generated by AI.
  • Refer to the tool’s documentation for common issues.

Step 5: Deploy Your App

Once you’re satisfied with your app, it’s time to deploy it. Most AI coding tools offer one-click deployment options. Simply follow the prompts to publish your app.

Expected Output:

  • Your app is live and accessible to users.

What's Next: Iteration and Feedback

After deployment, gather feedback from early users. This will help you identify areas for improvement and new features to implement. You can use tools like Typeform or Google Forms to collect user feedback efficiently.

Conclusion: Start Here

Building your first app in 60 minutes using AI tools is not only possible but also practical. Start by choosing the right AI coding tool from the list above, and follow the steps outlined to bring your idea to life.

In our experience, tools like OpenAI Codex and Bubble strike a good balance between flexibility and ease of use. For a quick MVP, Glide and Adalo can also be great options.

Remember, the key is to iterate based on user feedback. So, don’t hesitate to make adjustments as you go.

Follow Our Building Journey

Weekly podcast episodes on tools we're testing, products we're shipping, and lessons from building in public.

Subscribe

Never miss an episode

Subscribe to Built This Week for weekly insights on AI tools, product building, and startup lessons from Ryz Labs.

Subscribe
Ai Coding Tools

How to Automate Your Development Workflow with AI in 3 Easy Steps

How to Automate Your Development Workflow with AI in 3 Easy Steps (2026) As indie hackers and solo founders, we often find ourselves buried under a mountain of repetitive tasks tha

Sep 3, 20264 min read
Ai Coding Tools

How to Boost Your Coding Velocity with AI in 30 Minutes

How to Boost Your Coding Velocity with AI in 30 Minutes As a solo founder or indie hacker, you know that time is your most precious resource. The idea of boosting your coding veloc

Sep 3, 20264 min read
Ai Coding Tools

Why Most Developers Get GitHub Copilot Wrong: 5 Myths Busted

Why Most Developers Get GitHub Copilot Wrong: 5 Myths Busted As we dive into 2026, GitHub Copilot has become a staple in many developers' toolkits. However, despite its popularity,

Sep 3, 20263 min read
Ai Coding Tools

How to Use AI Coding Tools to Boost Productivity in Under 2 Hours

How to Use AI Coding Tools to Boost Productivity in Under 2 Hours As indie hackers, we all know the struggle of trying to stay productive while juggling multiple projects. The prom

Sep 3, 20265 min read
Ai Coding Tools

Vercel vs GitHub Copilot: Which AI Tool is Right for Your Project?

Vercel vs GitHub Copilot: Which AI Tool is Right for Your Project? As a solo founder or indie hacker, choosing the right tools can be a makeorbreak decision for your project. With

Sep 3, 20263 min read
Ai Coding Tools

Why GitHub Copilot is Not the Magic Bullet for Every Programmer: Debunking the Myths

Why GitHub Copilot is Not the Magic Bullet for Every Programmer: Debunking the Myths As a programmer, I’ve been there: staring at a blank screen, hoping for a burst of inspiration

Sep 3, 20264 min read