The AI Revolution Breaks the Tech Interview – What Now?
The rise of AI has fundamentally broken the traditional software engineering interview process. This article argues that LLMs act as mirrors, reflecting the skill of the operator. With AI easily solving coding challenges, identifying truly skilled candidates is a major hurdle. The author suggests interviews should assess not only theoretical understanding of LLMs (like the Model Context Protocol) but also practical application – observing how candidates interact with LLMs, managing context windows, debugging, critiquing generated code, and demonstrating critical thinking. Learning agility, resilience, and a product engineering mindset are also crucial. While a perfect solution remains elusive, observing candidates' LLM interactions is currently the most effective assessment method. The high cost of this intensive process presents a further challenge.