"AI helped me code, but more importantly, it helped with turning it into products. It's the combination of grasping AI and translating it into scalable products that helped me get promoted faster. I'm not just using AI to code; I also integrate AI's output into products. I need to have a deep understanding of how AI works, what works well, and what doesn't."
"I started using AI as a side project to generate engaging titles for recommendation widgets when ChatGPT and Claude emerged. I saw how powerful it is in generating something really creative. I started thinking: whenever I have a question or I want to code something up, I'll just ask AI for help first before I attempt it. I saw that the solution it came up with was leveling up my own code."
"Now I would say almost 95% of the code authored by me is written by AI. I'm not just using AI to code; I also integrate AI's output into products. I need to have a deep understanding of how AI works, what works well, and what doesn't."
Anni Chen, an Amazon software engineer, advanced from entry-level to senior engineer in approximately three-and-a-half years by leveraging AI for both coding and product development. She began using AI tools like ChatGPT and Claude to generate creative content for recommendation widgets, then expanded this approach across her work. Rather than simply using AI for code generation, Chen emphasizes the importance of understanding how AI functions, what works effectively, and its limitations. She now reports that AI generates approximately 95% of her code. Her success stems from combining technical AI proficiency with the ability to translate AI outputs into scalable, production-ready products. Chen advocates for being receptive to emerging AI models and tools while maintaining deep technical understanding of their applications.
#ai-assisted-development #career-advancement #product-engineering #generative-ai-integration #software-engineering-best-practices
Read at Business Insider
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