Mobile App Development with AI Assistant

 uly surprising to me. I was able to create a complete AI-driven mobile application. It involved not only using AI in the final application but also applying AI at every stage of the development process, including idea generation, design, coding, and app deployment. I call it “AI-Driven Development.” However, it is fundamentally similar to methods like Test-Driven Development, Behavior-Driven Development, or Domain-Driven Development but built upon AI technology.

Step 1: Generating Ideas with ChatGPT Assistance

Firstly, if you don’t have any ideas yet, I suggest using ChatGPT to generate some initial concepts. I leveraged ChatGPT to brainstorm general ideas when starting my project. Then, I dug deeper and explored these ideas further to refine them into specific concepts. You can ask ChatGPT for specific suggestions, such as generating five specific ideas for a native mobile app and AI tool. Alternatively, you can delve deeper to come up with your own unique ideas. However, if you already have an idea, you can skip this step.

Step 2: Designing the App with Mid Journey

Next, you’ll need to design your app. Creating a design for your app can be time-consuming and resource-intensive, or you can do it yourself. However, when doing it yourself, there is a risk of the app becoming dull or unappealing to users. I’d like to introduce you to two AI tools called Mid Journey and PlaygroundAi. You can start using them right away. With these toolsets, you can create beautiful and unique interfaces. Afterward, you can use Canvas to design logos and screen images for your app to publish to the market.

If you’re not familiar with Figma, you can combine Canvas with Pixlr. However, if you’re a designer and are accustomed to Figma, you can use Figma for app design. You can also refer to a tutorial series on building interfaces using Figma and Mid Journey at Youtube Link.

Step 3: Coding with GitHub Copilot X and Rift

After that, you can start coding. I am using two tools for this:

• GitHub Copilot X: This is a powerful tool. You can watch a tutorial video here. This video will guide you on how to use GitHub Copilot X to optimize software development by incorporating artificial intelligence. You will get detailed insights from experts on leveraging GitHub Copilot X to boost productivity and see real-use cases.

• Rift: This is an open-source tool for AI-driven development environments. Rift turns your IDE into a reliable collaborator. You’ll be impressed by its capabilities after watching the video here. Rift’s standout features include code editing as a conversation, editing code across the entire project, and context-based code generation.

Additionally, there is another option to use Junior AI by Astomsbox.

Step 4: Product Release with ChatGPT Support

Finally, after completing the product, you can use ChatGPT to think of a name and description for it. This can often take a considerable amount of time, but with ChatGPT’s assistance, you can accomplish it in less than a minute.

Conclusion

In summary, integrating artificial intelligence into your development process is valuable. However, it’s important to use various AI tools, not just ChatGPT, and be ready for adjustments to achieve perfection. I no longer had to spend an entire week writing code for this app as I did before; instead, it only took me a day over the weekend. I consider this a great outcome, so please share your thoughts.

If you’re intrigued by the potential of AI-driven development, stay tuned for my upcoming in-depth guide where I’ll walk you through each of these powerful tools, step by step. From idea generation to coding and product release, I’ll show you how to harness the full potential of AI in mobile app development. Don’t miss out on the opportunity to supercharge your app development process with cutting-edge AI technology!

Source: https://medium.com/@NALSengineering/mobile-app-development-with-ai-assistant-9a85aac7cf4f