How a Singapore Father Built a Baby‑Tracking App Using Claude Code—Without Writing Code

For many new parents, tracking a baby's feeding, sleep, and daily habits quickly becomes overwhelming. One Singapore father decided to solve that problem himself—even though he had no programming experience.

According to reporting from The Star, the father spent about five months trying to manage baby‑care records using pen and paper before deciding to build his own digital solution. Instead of learning traditional programming, he turned to Claude Code, an AI coding tool that lets users create software using plain‑language instructions.

The result: a working baby‑tracking web app built largely through natural‑language prompts.

The AI Tool That Made It Possible

Claude Code is an AI coding agent developed by Anthropic. Unlike a typical chatbot that only answers questions, the tool can work directly inside a developer environment.

Key capabilities include:

• Running directly inside a terminal interface such as Mac Terminal
• Reading and editing files within a project
• Running command‑line tools
• Making code changes based on natural‑language instructions

Instead of manually writing every line of code, users describe what they want and the AI plans and implements the necessary changes.

Anthropic describes this approach as an “agentic” coding workflow where the system can explore a codebase, plan tasks, and execute them while the user supervises.

Building the Baby‑Tracking App

The father reportedly adopted the tool after a suggestion from his boss. Using Claude Code through Mac Terminal, he described the application he wanted using normal English sentences rather than programming syntax.

Claude Code is bundled with Anthropic’s Claude Pro subscription, which costs roughly S$30 (about US$23) per month, making it accessible even to non‑developers experimenting with software ideas.

Because the system operates directly in the terminal, the workflow resembles traditional development—but with AI doing much of the implementation:

1. The user describes the desired feature in natural language.
2. Claude Code examines the project files.
3. The AI writes or edits code to implement the feature.
4. The user reviews or redirects the process.

This approach allowed someone without a technical background to move from idea to working application without first learning programming languages.

What We Can Confirm About the Project

The reporting supports a few clear facts:

• The creator was a Singapore father without prior coding experience.
• He built a baby‑tracking app after struggling with manual tracking for months.
• He used Claude Code in Mac Terminal with natural‑language prompts.
• The tool is available through a paid Claude subscription costing around S$30 per month.

These details illustrate how AI coding agents are lowering the barrier to building software.

Claims That Aren’t Fully Verified

Various online discussions have expanded the story with additional details, but the available sources do not confirm several widely repeated claims, including:

• Specific features such as tracking feeding, sleep, diaper changes, or allergies
• Comparisons against official medical guidelines from Singapore health authorities
• Integrations with platforms such as GitHub, Supabase, or Vercel
• Later workplace tools allegedly built using the same prompting skills

Without independent confirmation, those details should be treated cautiously.

Why This Example Matters

The story highlights a broader shift in software development: natural‑language programming.

Tools like Claude Code allow users to describe systems in plain language while the AI handles much of the technical implementation. Instead of learning programming syntax first, users focus on clearly explaining the problem they want to solve.

This model changes who can build software. People with domain knowledge—parents, teachers, analysts, designers—can potentially create useful tools without becoming professional developers.

The Singapore father’s baby‑tracking app is a small example, but it illustrates a bigger trend: AI coding agents are rapidly turning everyday ideas into working software.