Bad Patterns in Leveraging AI for New Grad Engineer Teams
This article discusses the challenges a new grad engineer team faced when trying to leverage generative AI tools like Gemini and Cursor in their software development process, and shares the lessons they learned.
Why it matters
As generative AI rapidly evolves, more engineering teams are exploring ways to leverage these tools. This article shares practical insights on the pitfalls to avoid and how to better integrate AI into the development workflow.
Key Points
- 1New grad engineer team experimented with using generative AI tools like Gemini and Cursor in their software development process
- 2Encountered several issues and bad patterns in their approach to leveraging AI
- 3Learned valuable lessons on how to better integrate AI into the development workflow
Details
The article describes the experiences of a new grad engineer team at DeNA Engineering that tried to actively leverage generative AI tools like Gemini and Cursor in their software development process, as part of exploring new AI-powered ways of working. They encountered several challenges and bad patterns in their approach, which they share as lessons learned. The goal is to provide concrete examples and improvements for others looking to integrate generative AI into their engineering teams, especially those with less experienced members.
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