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AI Fluent, Fundamentally Lost
AI is now table stakes in software engineering hiring, but it is also warping the signals we used to trust.
In this episode, the AI hosts cover my article about a growing pattern I call “AI-fluent, fundamentally lost”: candidates who can produce impressive output with prompts, yet struggle to explain the logic, constraints, and architectural trade-offs behind what they ship.
The result is a new kind of risk: “glass cannons” that look productive fast, but can drive long-term maintenance cost and technical debt when fundamentals and judgment are missing.
They cover the arguments for a more…
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