
Anish Moonka has shared how artificial intelligence helped him turn a personal problem into a fully functional iOS app in just one week. Moonka said he wanted to read the Bhagavad Gita daily but could not find an app that matched his preferences. Instead of learning to code, he relied entirely on AI tools — particularly Claude Code from Anthropic — to build the app from scratch.
The result was the launch of the “10 Minute Gita” app on Apple’s App Store, offering short daily readings and study tools for users looking to engage with the text consistently.
What the 10 Minute Gita app offers
According to Moonka, the app includes 239 daily readings drawn from the Bhagavad Gita, along with original Sanskrit verses, transliterations, and verse-by-verse translations.
It also features personal reflection prompts, streak tracking with a calendar-style heatmap, shareable verse cards, bilingual Hindi and English support, and offline access after download.
Users can customise fonts, switch between light and dark modes, and share visual verse cards across platforms. The goal, Moonka said, was to make daily scripture reading feel structured, simple, and engaging without overwhelming users.
Started a week ago, not knowing how to write a single line of codeI wanted to read the Bhagavad Gita daily, but couldn't find an app that felt right. So I built one. Ended with a full iOS app live @10minutegita on the App Store: → 239 daily readings of the Bhagavad Gita →… pic.twitter.com/0ldzxmDsxq — Anish Moonka (@AnishA_Moonka) February 5, 2026
How Claude Code handled the entire build
Moonka explained that he never wrote a single line of code himself. Instead, he described features in plain English while Claude Code generated the full app structure. The AI reportedly created more than 50 files using React Native, TypeScript, and Expo Router, set up navigation, storage systems, and wrote all content snippets.
When issues appeared, Moonka would paste screenshots and describe problems, which Claude then located and fixed within the codebase. For language consistency, the AI ran multiple agents to review Hindi translations and corrected dozens of inconsistencies automatically.
What this signals for app development
Moonka said the total cost of building the app was around $200 for AI subscriptions and developer fees — far lower than traditional development routes. He believes the biggest barrier to building software is no longer technical skill, but clearly defining the problem to solve.
His experience highlights how AI-assisted development tools are enabling non-technical users to create production-ready applications faster and at significantly lower costs.
Moonka has shared the app’s open-source code publicly and says future updates may include voice features, AI chat support, and additional languages. He also encourages others with product ideas to experiment with AI-first development workflows to bring concepts to life quickly.
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