Jaana Dogan, a Principal Engineer at Google, recently shared her experience using Anthropic’s Claude Code, an AI tool from a competitor, sparking significant discussion in the tech community. By providing a high-level problem description—not internal documents—she received a prototype that strikingly resembled her team’s previous work. Dogan emphasized that while the AI’s output mirrored their architectural ideas developed over months, it did not replace her team or deliver a finished product. Instead, it highlighted the potential of AI to rapidly generate drafts when given clear, domain-specific input. Her post encouraged engineers to test various AI tools with problems they know well, recognizing the evolving capabilities of AI in generating quick prototypes. Dogan’s observations underscore that, rather than diminishing the value of human engineering, AI can significantly accelerate aspects of the design process. For more insights, check her post on X (formerly Twitter).
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Jaana Dogan, Google Gemini’s Tech Chief, Reveals Rival AI Can Achieve a Year’s Worth of Human Work in Just One Hour
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