My Claude Code Experience: When AI Wrote the Entire Application

9 months ago, I started an experiment that fundamentally changed how I think about development. I used Anthropic's new Claude Code tool for a personal project, and the AI generated every single line – I only guided the process with structured prompts.

Important: The product was in research preview phase at the time. Not suitable for production projects, but can be extremely useful for personal development.

The Project: Financial Tracking Application

I built a financial tracking application where Claude created:

• The entire architecture
• The authentication system
• The admin interface
• Every single line of code

I just told it what I wanted, and Claude wrote it. I didn't write a single line by hand.

The Technology Stack

I chose a clean, cost-effective solution:

Angular frontend – With Netlify hosting for quick and simple deployment.

Python Flask backend – Running on PythonAnywhere, which offers free options.

Supabase database and authentication – Modern, developer-friendly solution.

The Reality: Not Always Perfect

The code quality was mixed. Sometimes there were:

• Missing imports
• Minor syntax errors
• Logic pitfalls that needed fixing

After an hour of use, I switched to a more autonomous mode where Claude only asked back on bigger decisions. This significantly sped up the process.

Total project API cost: ~$14.

What This Means for the Future

In the summer, I wanted to start a web development business. Now I see that with such a tool, soon any ambitious entrepreneur can build semi-professional interfaces.

If models in 2-3 years work with agents and up-to-date documentation, incredible development tools will emerge.

The Paradigm Shift

Business logic will become increasingly valuable, not the code itself.

Coming up with a process – whether it's:

• Enterprise resource planning system
• Search engine for e-commerce platforms
• Payroll application

This will be the real value. The market will level out, and competition will significantly increase.

Those who can create value and implement good ideas will win – not those who write the best TypeScript code.

Lessons from 9 Months Later

These tools have evolved a lot since then. Claude Code is now much more stable, and GPT-4o and other models offer similar functionality.

My experience confirmed: AI won't replace developers, but it will fundamentally transform their work. The focus is increasingly on:

• Architecture design
• Business logic development
• Prompt engineering
• Debugging and optimization

Most routine tasks can be automated. The question is: what will you do with that freed-up time?

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