Removing AI in Tech Interviews is Wrong

2026-05-07 · Source: Engineering Leadership · Field: Business & Management — Human Resources & Workforce Development, Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Intermediate, medium

Summary

The article, "Removing AI in Tech Interviews is Wrong," argues that prohibiting AI tools in technical interviews is counterproductive, as AI-assisted engineering has become a standard practice. It highlights that 90% of developers regularly used at least one AI tool for coding tasks in January 2026, according to a JetBrains survey, a figure likely higher now. The author criticizes the prevalent LeetCode-style interview, established around 2015, for failing to assess real-world engineering judgment and skills, noting such problems are easily solvable with AI prompts. The piece advocates for interview processes that mirror daily engineering work, where judgment and efficient AI use are paramount. It promises detailed recommendations and three structured options for integrating AI into tech interviews, expecting LeetCode-style interviews to be obsolete by the end of 2026.

Key takeaway

For Engineering Leaders designing hiring processes, you should re-evaluate traditional coding interviews. Prohibiting AI tools misaligns with modern engineering practices, where AI-assisted development is standard. Instead, structure interviews to assess candidates' judgment and ability to effectively use AI to solve problems, mirroring real-world workflows. This approach ensures you hire engineers proficient in contemporary development environments, rather than those merely skilled at LeetCode-style challenges.

Key insights

Modern tech interviews should assess judgment and AI proficiency, not just memorized coding patterns.

Principles

• AI-assisted engineering is the industry standard.
• LeetCode-style interviews don't reflect real work.
• Interview goals should mirror daily engineering tasks.

Method

The article promises 3 concrete options for structuring tech interviews to allow AI use while assessing candidates, with a full process for hiring new engineers.

In practice

• Integrate AI tools into coding assessments.
• Focus on problem-solving judgment over rote memorization.
• Design tasks reflecting actual engineering workflows.

Topics

• AI-assisted Engineering
• Technical Interviews
• LeetCode
• Hiring Practices
• Software Development
• Engineering Leadership

Best for: CTO, Director of AI/ML, VP of Engineering/Data, HR Professional

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Editorial summary, takeaway, and curation by AIssential. Original article published by Engineering Leadership.