The traditional software engineering hiring process, which heavily emphasizes manual coding tests, is becoming outdated due to the rise of generative AI and agentic development. Companies like 37signals have already significantly reduced the amount of manual coding performed by their engineers, highlighting a shift in how software is created. To align hiring practices with this evolving reality, assessments should focus on evaluating a candidate's ability to define problems, utilize AI tools effectively, and verify results, rather than simply testing unaided coding skills. This shift necessitates a move towards work samples that mirror real-world development scenarios.
Read the full article at Towards AI - Medium
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