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We don’t guess about capability. We audit your team’s readiness to maintain the AI we build, identifying skill gaps instantly.
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There is a widening crack in the foundation of the technology industry, and it is most visible in the hiring pipeline.
For twenty years, the “Technical Interview” has remained static. We bring a candidate into a room, hand them a dry-erase marker, and ask them to invert a binary tree or optimize a sorting algorithm from memory. We test for Syntax, Recall, and Speed.
In 2025, this process stopped measuring potential and started measuring obsolescence.
We have entered the era of “Vibe Coding”—where an engineer can generate an entire microservice, complete with boilerplate and tests, in the time it takes to describe it. When an AI agent can solve complex algorithmic challenges in four seconds, testing a human on their ability to write syntax from memory is like testing a calculator on its ability to do long division.
We are currently hiring for a skill that has become a commodity (writing), while ignoring the skill that has become the scarcity.
That scarce skill is “Code Taste.”
To understand why our hiring models are failing, we must look at the day-to-day reality of the Senior Engineer.
Historically, software engineering was a literary pursuit. The engineer was a Writer. They started with a blank page. The bottleneck was their typing speed and their knowledge of library functions.
Today, the engineer is an Editor.
The AI provides the rough draft—often faster than the human can think. The bottleneck has shifted from creation to verification. The job is no longer to lay the bricks; it is to look at the wall the AI built and instantly know which brick is going to crumble under load.
This requires a fundamentally different cognitive muscle. It requires System Intuition—or “Taste.”
“Taste” sounds subjective, but in engineering, it is precise. It is the accumulated intuition of what not to build.
In an AI-augmented workflow, a candidate with high “Syntax Skills” but low “Taste” is dangerous. They will accept the AI’s output because it compiles. They will ship the “Vibe” because it looks correct on the surface. They will introduce “Phantom Dependencies” because they didn’t audit the imports.
We need to rewrite the Competency Matrix to test for three new pillars:
We shouldn’t ask candidates to write code from scratch. We should give them AI-generated code that contains a subtle, catastrophic flaw—a logic bug, a security hole, or a bloated pattern.
AI models are verbose. They love to add complexity, wrappers, and helper functions. A “Vibe Coder” adds more code to fix problems. An Engineer with “Taste” deletes code to fix problems.
AI is optimistic. It writes code for the “Happy Path.” It rarely anticipates the edge case where the database locks or the API rate-limits.
This shift brings a darker structural problem for the industry: The obsolescence of the generic Junior Developer role.
Traditionally, Junior Engineers developed “Taste” by doing the grunt work. They wrote the boilerplate, fixed the minor bugs, and read the documentation. That “rep count” built their intuition.
Today, the AI does the grunt work. The “Learning Loop” has been severed.
If we stop hiring Juniors because AI is cheaper, we are eating our own seed corn. In five years, we will have a massive shortage of Senior Architects because nobody learned the fundamentals today. The solution isn’t to stop hiring Juniors, but to change what we teach them. We must teach them to Audit before they learn to Author.
The winning organizations of 2026 will be the ones that pivot their hiring strategy first.
We are moving from an industry of Builders to an industry of Architects. The tools have changed. It is time the interview changed with them.
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