The 10x Engineer Myth Isn’t About Speed – It’s About Deleting Code

The 10x Engineer Myth Isn’t About Speed – It’s About Deleting Code

By Ebuka Onah

The idea of the “10x engineer” is often misunderstood. People imagine someone who writes more code, faster, and pushes features at extreme speed.

But in real-world systems, speed is rarely the limiting factor. Complexity is.

The best engineers are not the ones who write the most code—they are the ones who remove the most of it.

Where the Myth Went Wrong

In early-stage engineering culture, output was everything. More commits meant more productivity. More features meant more value.

But modern systems show a different truth:

  • More code = more bugs
  • More features = more maintenance cost
  • More abstractions = slower teams

Eventually, writing code becomes easier than maintaining it.


What a Real 10x Engineer Looks Like

A high-impact engineer doesn’t just build systems—they simplify them aggressively.

  • Removes unnecessary services
  • Deletes redundant abstractions
  • Replaces complex logic with simpler flows
  • Reduces dependency chains
  • Optimizes for clarity over cleverness
If a feature doesn’t clearly improve the system, the best engineers don’t add it—they eliminate it.

The Hidden Cost of Code

Every line of code carries long-term responsibility.

  • Debugging cost increases over time
  • Onboarding becomes harder
  • System failures become harder to trace
  • Technical debt accumulates silently

Most teams underestimate this until it’s too late.


Why Deleting Code Is Harder Than Writing It

Deleting code sounds simple, but it requires confidence and system understanding.

  • You must understand hidden dependencies
  • You must predict downstream effects
  • You must challenge team assumptions
  • You must accept short-term discomfort for long-term gain
Writing code feels productive. Deleting it feels risky. That’s why most teams accumulate complexity instead of reducing it.

Examples of High-Leverage Deletions

  • Replacing microservices with modular monoliths
  • Removing unnecessary caching layers
  • Deleting unused API endpoints
  • Consolidating duplicated business logic
  • Eliminating over-engineered abstractions

These changes rarely look impressive in demos—but they massively improve system stability.


The Productivity Illusion

Teams often reward visible output:

  • New features shipped
  • Tickets closed
  • Code written

But real engineering leverage is often invisible:

  • Code not written
  • Systems simplified
  • Complexity removed
The most important engineering work is often the least visible.

How to Think Like a “Code Deleter”

  1. Ask: “What can I remove instead of add?”
  2. Question every abstraction
  3. Prefer standard solutions over custom ones
  4. Reduce dependencies aggressively
  5. Optimize for future maintainers, not just current features

Final Insight

The 10x engineer is not defined by speed or output.

They are defined by restraint.

By the discipline to say: “This system works better with less.”

Real engineering leverage is not writing more code—it is making entire classes of code unnecessary.