Before
I’m a retired tech executive who spent more than twenty years in management. In retirement, I’ve gone back to something I enjoyed earlier in my career—writing code.
As a personal challenge, I intentionally choose domains, disciplines, and programming languages that I’m not already familiar with so I can keep learning something new. The challenge is that learning new technical areas from scratch can be slow and frustrating. There’s a lot of complexity, and getting from an idea to a working system takes time.
What changed
AI has changed that. Tools like Claude Code have dramatically expanded what I can accomplish as an individual developer. In many cases, my AI assistant can write code much faster than I can.
That shifts how I spend my time.
Outcome
That shifts how I spend my time.
Instead of focusing on typing and debugging, I focus on higher-level architecture and on writing clear, precise specifications. In practice, that often leads to cleaner, less buggy code.
More importantly, it makes building things feel accessible again.
What used to feel slow and effortful now feels fluid. I can move from idea to working system much more quickly, even in areas I’m still learning.
It’s also changed how I think about who can build software.
People with strong ideas and domain knowledge are often blocked by the complexity of programming. AI is starting to remove that barrier, making it easier to turn good ideas into real systems.

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