Should companies still use LeetCode-style interviews?

For algorithmic optimization roles, yes. For most software engineering roles, project-based assessments and system design discussions predict job performance more accurately than algorithmic recall in an AI-augmented work environment.

How do you screen for AI fluency specifically?

Ask candidates to evaluate an AI-generated code snippet for correctness, security, and edge cases. Ask how they validate LLM output before production use. These questions reveal actual AI working habits, not theoretical knowledge.

Are AI-native engineers harder to source?

Yes. AI-native roles grew 240% in 2025 while talent grew more slowly. Skills-based AI screening tools that match on demonstrated abilities surface more qualified candidates faster than title-based searches.

Prompting Your Next Engineer with SuperDriven

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Published: March 10, 2026 Last updated: July 6, 2026 Reviewed by: Kaushlendra Tomar

Prompting Your Next Engineer with SuperDriven

Kaushlendra Tomar

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