How We Used AI Tools to Build a Complete App in 2 Days: Our Experience

Building an app in just 48 hours sounds like a tall order, right? But in 2026, with the right AI tools, it’s not only possible but also surprisingly manageable. As indie hackers and side project builders, we constantly seek ways to maximize our productivity. In this article, I’ll share how we leveraged a combination of AI coding tools to bring our app idea to life in two days, and what we learned along the way.

Prerequisites: What You Need Before You Start

Before diving into the tools we used, here’s what you’ll need:

1. Basic Coding Knowledge: Familiarity with programming concepts will help, but you don’t need to be a pro.
2. A Clear Idea: Define what your app will do. We started with a simple MVP.
3. Access to AI Tools: Sign up for the platforms we’ll discuss below.

The AI Tools We Used

Here’s a breakdown of the AI tools that enabled us to build our app quickly. Each tool has its unique strengths and limitations, so choose wisely based on your specific needs.

| Tool Name | What it Does | Pricing | Best For | Limitations | Our Take | |------------------|----------------------------------------------------|-------------------------------|---------------------------------|-----------------------------------|-----------------------------------| | OpenAI Codex | Generates code snippets from natural language prompts | $0-20/mo (based on usage) | Quick coding tasks | Not always context-aware | We used it for rapid prototyping. | | Bubble | No-code platform to build web apps visually | Free tier + $29/mo for pro | Non-coders | Limited customization | We don't use it for complex logic. | | Glitch | Collaborative coding environment | Free + paid plans from $10/mo | Team projects | Can get slow with larger apps | Great for quick iterations. | | Replit | Online IDE with collaborative features | Free + $20/mo for pro | Learning and sharing code | Limited features in free version | Perfect for our coding sessions. | | Figma | Design tool for UI/UX | Free + $12/mo for pro | Prototyping designs | Can be overwhelming for beginners | We used it for wireframing. | | Zapier | Automates workflows between apps | Free tier + $19.99/mo | Connecting tools | Limited to certain integrations | Essential for our app's backend. | | ChatGPT | Conversational AI for brainstorming and problem-solving | Free + $20/mo for pro | Ideation and feedback | Sometimes gives vague answers | Great for refining our app idea. | | GitHub Copilot | AI-powered code suggestions | $10/mo | Developers looking for assistance | Can suggest non-optimal solutions | We relied on it for debugging. | | Voiceflow | Creates voice apps easily | Free tier + $15/mo for pro | Voice applications | Limited to voice interfaces | Used it for a voice feature. | | Framer | Design and prototype websites | Free tier + $20/mo | Landing pages | Can be tricky to integrate | Good for our marketing site. |

Our Workflow: How We Built the App

Day 1: Ideation and Prototyping

On the first day, we focused on defining our app and creating a prototype. We started with ChatGPT to brainstorm features and refine our concept. We then moved to Figma, where we designed the app layout in about 3 hours.

Day 2: Development and Deployment

On the second day, we leveraged OpenAI Codex to generate code snippets based on our designs. Using Glitch, we set up our environment and integrated the backend with Zapier to automate data handling. We finished by deploying the app and testing it thoroughly.

What Could Go Wrong: Troubleshooting

While our experience was largely positive, we faced some hiccups:

• Code Errors: OpenAI Codex sometimes generated code that didn’t perfectly fit our context. We had to debug manually.
• Design Misalignment: Figma’s prototypes didn’t always translate perfectly into functional elements in code.

To mitigate these issues, we made sure to review each part of the generated code and double-check design elements.

What’s Next: Scaling Your App

After launching our app, we recommend focusing on user feedback to iterate on features. Consider using tools like Hotjar for user insights and continuing to refine your app with OpenAI Codex as your user base grows.

Conclusion: Start Here

If you’re looking to build an app quickly, start by defining your idea clearly. Then, choose the right AI tools from our list based on your needs. In our experience, combining no-code platforms with AI coding tools provides a robust framework for rapid development.

What We Actually Use:

• OpenAI Codex for code generation
• Figma for design
• Glitch for development
• Zapier for automation

By strategically combining these tools, we were able to ship our app in just two days—proof that with the right resources, you can accomplish a lot in a short amount of time.