Why AI’s Best Engineering Advice Can Still Be Wrong

AI can recommend retries, caching, microservices, high availability, and countless other best practices. But technically correct advice can still produce the wrong system. In this video, I examine how context changes engineering decisions, why good principles often conflict, and what experienced judgment provides when technical knowledge is becoming nearly free. AI is incredibly useful for expanding the decision space, but someone still has to decide which consequences matter, which trade-offs are acceptable, and what they’re willing to own. For more on technical leadership, check out The Technical Leader’s Field Guide. The Amazon link is below. https://a.co/d/02eafJXO #SoftwareEngineering #ArtificialIntelligence #TechnicalLeadership