Prompt Engineering at Workplace: How I Used Amazon Q Developer to Boost Team Productivity by 30%
If someone had told me a year ago that learning how to talk to an AI would become one of the most valuable skills in my engineering career, I probably would have laughed. But here I am. A certified...
Source: DEV Community
If someone had told me a year ago that learning how to talk to an AI would become one of the most valuable skills in my engineering career, I probably would have laughed. But here I am. A certified Prompt Engineer at Ericsson, having driven a 30% improvement in team developer efficiency simply by integrating AI-assisted tooling into our daily workflows. This is the story of how it happened, what I learned, and how you can apply it too. A Little Background I'm Zaina, a Software Engineer at Ericsson, one of the world's largest telecommunications technology companies. My day-to-day work involves building Java microservices, working with Apache Kafka event-driven systems, and maintaining CI/CD pipelines at enterprise scale. Like most engineers, I was skeptical when AI coding tools started appearing. "It'll write buggy code." "You still have to review everything." "It's just autocomplete on steroids." All of that is partially true. But I was missing the bigger picture. π€ What Is Amazon Q D
