
This episode of Soft Skills Engineering addresses questions about leadership in hardware teams and managing AI code generation. The first question explores how a software-focused CTO can gain respect and lead a hardware team, with suggestions including transparency about knowledge gaps and identifying trustworthy team members. The second question tackles the challenges of product managers contributing AI-generated code, leading to code review bottlenecks. The discussion emphasizes the need for automated feedback, guardrails, and communication with leadership to address the impact on engineering workload and code quality, and also touches on the evolving role of code quality in an AI-driven world.
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