Building with AI: My Experience with Claude Code
How I'm using AI to accelerate development and what I've learned about effective AI collaboration
Max Techera
@maxtechera
After years of building tech companies the traditional way, I've discovered something transformative: AI isn't just changing how we code—it's fundamentally reshaping how we think about building software.
The Shift from Writing to Orchestrating
Remember when we used to write every line of code by hand? Those days are rapidly becoming history. Today, I spend more time:
- Architecting the big picture
- Reviewing AI-generated code
- Refining prompts to get better results
- Orchestrating multiple AI agents
This isn't about being lazy—it's about leveraging intelligence amplification to build faster and better.
💡 Key Insight: The best developers of tomorrow won't be those who write the most code, but those who can best collaborate with AI.
My Daily Workflow with Claude Code
Here's how I structure my development sessions:
1. Morning Planning
I start each day by outlining what I want to build in plain English. No pseudocode, just clear intentions:
Today's Goals:
- Add a blog section to my personal site
- Implement search functionality
- Create a dark mode toggle
- Optimize for mobile2. Collaborative Building
Instead of opening my IDE first, I open Claude Code and we pair program:
# Start a new session
claude-code --project my-site
# Describe what I want
"Let's create a blog section using MDX and Contentlayer"3. Review and Refine
AI generates the initial implementation, then I:
- Review the approach
- Test edge cases
- Refine the design
- Add my unique touches
Real Results: 10x Productivity Gains
These aren't exaggerated claims—these are my actual metrics from the past month.
Before AI (Traditional Development)
- Blog implementation: 2 weeks
- Authentication system: 1 week
- API integration: 3 days
- Total lines written: 5,000+
With Claude Code
- Blog implementation: 2 days
- Authentication system: 1 day
- API integration: 3 hours
- Total prompts written: ~50
Lessons Learned
1. Context is Everything
The better you can describe what you want, the better the results. I've developed a framework:
WHAT: [Specific feature/component]
WHY: [Business/user value]
HOW: [Technical preferences]
CONSTRAINTS: [Limitations/requirements]
2. Iteration > Perfection
Don't try to get everything perfect in one prompt. Build incrementally:
- Get a working version
- Refine the functionality
- Improve the design
- Optimize performance
3. AI Has Opinions (And That's Good)
Sometimes Claude suggests approaches I wouldn't have considered. Often, they're better than my initial ideas.
The Future of Development
We're entering an era where:
- Junior developers can build senior-level features
- Senior developers can build at architect speed
- Architects can prototype at light speed
The key isn't to fear this change—it's to embrace it and level up your collaboration skills.
Practical Tips for Getting Started
- Start Small: Don't try to rebuild your entire app. Start with a single feature.
- Be Specific: Vague prompts get vague results.
- Review Everything: AI is powerful but not infallible.
- Learn Patterns: Notice what works and build your prompt library.
What's Next?
I'm currently experimenting with:
- Multi-agent workflows
- AI-driven testing strategies
- Automated documentation
- Voice-to-code development
Follow along as I share daily experiments and insights from this journey.
Building the future, one prompt at a time. What are you building with AI? Let me know on Twitter.
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