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Geeky Gadgets
2 days ago
- Geeky Gadgets
How to Build a Complete iPhone App with ChatGPT 5
Creating an iPhone app without prior coding experience may seem daunting, but advancements in artificial intelligence are making this process more accessible. This article explores how a non-developer successfully built and launched a simple app, 'Coffee Finder,' using ChatGPT 5. The experience highlights the growing potential of AI tools in app development while addressing the challenges and broader implications of this technology. In the video below, Stephen Robles shows us how he built his iPhone app using ChatGPT 5. Watch this video on YouTube. What is 'Coffee Finder'? 'Coffee Finder' is a user-friendly app designed to help individuals locate coffee shops within a 10-mile radius or near a manually entered zip code. The app integrates location-based services and mapping technology to display results on an interactive map. Users can select a coffee shop to view directions, making it a practical tool for coffee enthusiasts seeking convenience. The app's design prioritizes simplicity and privacy. It avoids complex features such as user accounts or extensive data collection, focusing solely on location access. This minimalist approach ensures ease of use while safeguarding user information. How ChatGPT 5 Simplified Development ChatGPT 5 played a pivotal role in every stage of the app's creation, acting as a virtual mentor and guide. From setting up the development environment to refining the app's functionality, the AI provided step-by-step assistance. The process unfolded as follows: Setting Up the Environment: ChatGPT guided the user through installing and configuring Xcode, Apple's integrated development environment, making sure the necessary tools were in place. ChatGPT guided the user through installing and configuring Xcode, Apple's integrated development environment, making sure the necessary tools were in place. Writing and Debugging Code: The AI generated Swift code for essential features, such as location services and map integration. It also helped troubleshoot issues like persistent number pads on input fields. The AI generated Swift code for essential features, such as location services and map integration. It also helped troubleshoot issues like persistent number pads on input fields. UI Adjustments: ChatGPT offered recommendations for optimizing the app's design, including layout improvements and padding adjustments to enhance usability. This iterative process of coding, testing, and refining underscored ChatGPT's effectiveness as a reliable assistant, bridging the gap between technical challenges and user-friendly solutions. Overcoming Challenges Despite the support provided by ChatGPT, the development journey was not without its hurdles. Several challenges emerged, requiring persistence and problem-solving: App Store Submission: The app initially faced rejections due to issues such as iPad compatibility and missing icon sizes. These setbacks necessitated manual adjustments to Xcode files, including modifications to the file to meet Apple's stringent requirements. The app initially faced rejections due to issues such as iPad compatibility and missing icon sizes. These setbacks necessitated manual adjustments to Xcode files, including modifications to the file to meet Apple's stringent requirements. Debugging Errors: Troubleshooting location permissions and navigation glitches often required multiple iterations. While ChatGPT provided targeted solutions, resolving these issues demanded careful attention to detail and repeated testing. These obstacles highlighted the complexity of app development, even with AI assistance, and emphasized the importance of understanding the nuances of the process. AI Beyond Coding: Design and Documentation ChatGPT's contributions extended beyond coding, demonstrating its versatility in supporting various aspects of app development. Key areas where the AI proved invaluable included: App Icon Creation: ChatGPT generated the app icon and resized it to meet Apple's specifications, eliminating the need for specialized design skills. ChatGPT generated the app icon and resized it to meet Apple's specifications, eliminating the need for specialized design skills. Textual Content: The AI crafted the app's description, promotional text, and privacy policy, making sure compliance with App Store guidelines and enhancing the app's presentation. The AI crafted the app's description, promotional text, and privacy policy, making sure compliance with App Store guidelines and enhancing the app's presentation. Privacy Policy: The policy emphasized the app's limited data usage, reassuring users about the security of their information and aligning with privacy standards. By automating these tasks, ChatGPT saved significant time and effort, allowing the user to focus on refining the app's core functionality. Lessons Learned and Future Plans The development and publication of 'Coffee Finder' served as a valuable learning experience for the non-developer. It provided insights into the intricacies of app creation while showcasing the potential of AI tools like ChatGPT to simplify complex tasks. However, the process also revealed the depth of expertise and problem-solving skills that professional developers bring to the table. Looking ahead, the user plans to explore more ambitious projects with ChatGPT's assistance. Potential enhancements for 'Coffee Finder' include advanced features such as user accounts, real-time updates, or even machine learning algorithms to personalize recommendations. These future endeavors aim to push the boundaries of what non-developers can achieve with AI tools. What This Means for the Future of Development The 'Coffee Finder' project illustrates the fantastic potential of AI in app development. By lowering the barriers to entry, tools like ChatGPT empower individuals without technical backgrounds to create functional and innovative applications. This widespread access of technology could lead to a surge in creative ideas and solutions across various industries. However, the rise of AI-assisted development also raises important considerations for professional developers. While AI excels at handling routine tasks and providing guidance, it cannot replace the creativity, critical thinking, and expertise of experienced programmers. Instead, it serves as a complementary tool, enhancing productivity and allowing developers to focus on more complex challenges. As AI tools continue to evolve, they hold the potential to reshape the landscape of software development. By empowering a broader audience to contribute to the digital world, these advancements pave the way for a more inclusive and innovative future in technology. Below are more guides on AI-Assisted App Development from our extensive range of articles. Source & Image Credit: Stephen Robles Filed Under: Apple, Apple iPhone, Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
New York Times
26-06-2025
- Entertainment
- New York Times
‘M3gan 2.0' Review: Back to Slay Another Day
The 'M3gan' franchise — look, we all know there's going to be a '3.0' — is the opposite of serious. In 2022, the first film played on the time-tested horror trope of the killer doll, adding an artificial intelligence twist. It became an instant camp classic, owing largely to clips from the trailer that were meme-ified all over the internet, especially its queer corners. Critics even loved it, probably because it clearly knew what kind of flamboyant nonsense it was aiming for and leaned all the way in. 'M3gan 2.0' is no more serious than the original, but occasionally feels like it's trying to be. When we last saw Gemma (Allison Williams, still sincere and excellent) and her tween niece Cady (Violet McGraw), they were picking up the pieces of their lives after M3gan, the A.I.-powered android that Gemma programmed to protect Cady, followed her prime directive so single-mindedly that she wreaked total havoc on their lives. Now, two years later, Gemma has become an author and an advocate for legislation and safeguards in A.I. development, and she carefully monitors Cady's tech usage. This is an interesting turn of events for a movie like this, because it seems to take Gemma's concerns seriously, laying out convincing arguments for not leaving all the A.I. development to profit-obsessed tech bros. Watching 'M3gan 2.0,' I got the sense someone had done their homework, thinking about the ways that rhetoric about enhancing mankind's future and creating a better world can, and do, function as a smoke screen for less altruistic ends. Once in a while, I caught myself thinking this movie was more grounded in the reality of A.I. in our world than films like the 'Mission: Impossible' series. But it's still a killer doll movie. With her labmates (Brian Jordan Alvarez and Jen Van Epps), Gemma is still developing products designed to help humans live in this brave new world, like a kind of exoskeleton that increases human stamina and strength. She's also struck up an ambiguously warm relationship with the tech ethicist Christian (Aristotle Athari). But when a mysterious weapon named Amelia (Ivanna Sakhno) turns up abroad, and a billionaire (Jemaine Clement) starts sniffing around Gemma's lab, it's clear things are going go to sideways. In returning to M3gan's world, the screenwriter and director Gerard Johnstone repeats some of the same formula, most notably the reappearance of the deranged A.I. doll (once again performed by Amie Donald and voiced by Jenna Davis). It's still camp galore, with lines designed to be meme-ified again, and a lot of elaborate silliness. There's acrobatic fighting; there's a dance scene; there's a hilarious nod to an A.I. product that notoriously flopped in the real world. Want all of The Times? Subscribe.
