05/31/2026
🔧 The rise of AI coding tools is reshaping what it means to become a software engineer.
In our latest article, CIT graduate student Obadoni explores the growing dilemma early-career engineers face in the age of automated code: how to balance speed and efficiency with true technical understanding. While AI tools can accelerate development, they also introduce real risks around skill development, security, and long-term engineering growth. The key question is no longer just “can we build it faster?” but “do we understand what we’re building?”
https://www.linkedin.com/pulse/early-career-engineers-dilemma-age-flane
The path from computer science classrooms to professional software engineering has never been straightforward, but the rise of automated coding tools has changed the nature of that transition. Early-career engineers are stepping into workplaces where AI systems can generate functions, debug errors,