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Why Traditional Technical Interviews Are Breaking

AI is changing how software is built. But there is another change happening in parallel — and it is exposing something that was already broken. Most technical interviews are no longer aligned with how real engineering work happens. And this gap is getting wider.
January 17, 2022
Interviews were designed for a different era. Traditional technical interviews were built around a simple assumption: that the ability to write code under pressure is a good signal of engineering skill. That assumption made sense when writing code was the main bottleneck, when knowledge of syntax and algorithms mattered more than anything else, when tools were limited, and when AI did not exist. But that world no longer exists.

Interviews were designed for a different era

Traditional technical interviews were built around a simple assumption:

The ability to write code under pressure is a good signal of engineering skill.

That assumption made sense when:

  • Writing code was the main bottleneck.
  • Knowledge of syntax and algorithms mattered more.
  • Tools were limited.
  • AI did not exist.
But that no longer exists.

The reality of modern development

  • Today, developers:

    • Use AI to generate and refine code.
    • Rely heavily on documentation and external tools.
    • Build on top of complex existing systems.
    • Work in distributed, collaborative environments.
    • Solve problems that are open-ended and ambiguous.

    None of this is reflected in most interviews.

The mismatch is structural, not accidental

Most interviews evaluatee:

  • speed under artificial pressure
  • isolated problem solving
  • memorization of patterns

But real engineering work requires:

  • judgment
  • system thinking
  • communication
  • decision-making under uncertainty

These are not tested properly.

Wrapping Up

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