Even as AI automates complex tasks, the ability to define quality, recognize trade-offs, and understand consequences is irreplaceable. This 'domain judgment,' born from experience, is the foundation upon which all AI-driven work must be built, separating passable output from great results.

Effective intuition relies on metacognition—the awareness of what you know and the boundaries of your expertise. This self-awareness allows an expert to discern when an intuitive feeling is based on deep experience versus when it is merely a guess in an unfamiliar domain.

Pro athletes like Steph Curry develop an intuition so refined they can feel minuscule environmental changes. Similarly, successful founders gain an expert 'feel' for business bottlenecks by repeatedly tackling uncomfortable and uncertain areas. This intuition isn't magic; it's a trained expertise born from repetition and deliberate practice.

In a study comparing military captains and generals, novices used data to confirm their initial strategy. The more experienced generals used the same data to question their strategy, treating intuition as a starting point for inquiry, not a conclusion.

Experts in high-stakes fields like fighter piloting don't rely on rules or procedures. They build tacit knowledge, an intuitive ability to assess complex situations where checklists are insufficient. This contradicts the common belief that expertise is simply about mastering a set of rules.

Engineering intuition is not just a vague feeling but a formal problem-solving skill. It is defined as an expert's ability to subconsciously apply prior experience to assess situations, predict outcomes, or determine a path forward.

Growth doesn't come from just accumulating experiences, but from actively reflecting on them. Taking time to consciously process what worked, what didn't, and why, helps consolidate learning and solidifies the subconscious neural pathways that form intuition.

After a certain point, becoming a more senior engineer isn't about writing better code. In fact, coding skill may decline. The key differentiator is the ability to zoom out and apply technical judgment to increasingly larger scopes—from a team, to a department, to the entire company's long-term strategy.

Fast decision-making is often mislabeled as reckless by those insecure about their own judgment. In reality, it stems from deep experience and pattern recognition. An expert can evaluate a situation in minutes because they have seen it hundreds of times, making speed a sign of competence.