The Code I Ship Is 70% AI - And It’s My Best Work Yet

Most people see AI as “cheating” at coding. I see it as a force multiplier that lets me ship better software with more intention.

Around 70% of the code I ship today is AI-generated, and paradoxically, the quality of my work has gone up, not down.

This isn’t another vague “AI changed my workflow” post. This is about measurable output, real results, and what actually happens between AI output and production-ready code.

My AI Productivity Numbers

Since integrating AI deeply into my workflow, I’ve seen concrete gains:

• 2-3x more features shipped per month on side projects
• ~40-50% less time spent on boilerplate and repetitive tasks
• Fewer regressions, because I spend more time reviewing and testing
• Shorter feedback loops, which leads to better decisions earlier

The biggest shift isn’t speed alone. It’s where my time goes.

Less time typing. More time thinking.

What AI Gets Right (And Wrong)

What It Gets Right

• Boilerplate and setup code
• Common patterns - CRUD, forms, validation, API layers
• First-pass refactors of messy functions
• Tests that cover the happy path

What It Gets Wrong

• Over-engineering for hypothetical future needs
• Naming that doesn’t match the business domain
• Missing non-obvious edge cases
• Tradeoffs that only make sense with deep context

AI accelerates implementation. It does not understand why a system exists.

The Human Layer That Still Matters

The most important work still happens outside the generated code:

• Architectural decisions
• Boundary definition and ownership
• Tradeoffs between speed, safety, and simplicity
• Code review and long-term maintainability

AI writes code. I decide what code deserves to exist. That distinction is everything.

The Part I Still Miss

To be honest, sometimes I wish coding could go back to the era before AI. When writing code meant slower progress, more friction, and long stretches of being alone with a problem until it finally clicked. There was something deeply satisfying about wrestling with every line yourself.

But that era is gone, and pretending otherwise only means choosing to move slower on purpose.

Why This Still Feels Like My Best Work

Even with that nostalgia, the reality is clear.

• I have more time for design and iteration
• I review code more carefully
• I make better architectural decisions
• I ship calmer, cleaner solutions

AI didn’t take away the craft. It changed where the craft lives.

AI Is Not a Crutch - It’s a Lever

Without fundamentals, AI helps you ship fragile systems faster.

With strong fundamentals, AI lets you:

• Explore more solutions
• Reject bad ideas quicker
• Raise the baseline quality of your work

That’s why the code I ship today feels like my best work yet.

Not because AI writes it. But because it frees me to think like an engineer, not a typist.