The Evolving Software Engineer: Balancing AI Speed with System Accountability

While AI coding agents free up time for product strategy and system design, they also introduce risks like architectural debt, review fatigue, and code liability. Because humans—not AI—are ultimately responsible for production outages, maintaining a strict human-in-the-loop process is essential to keeping codebases reliable. As software engineering roles and interview standards evolve toward code comprehension, the primary value of a developer remains their critical thinking and deep system understanding, with AI acting as an accelerator rather than a replacement.
Speaker(s): Dhruv , Kunal
Virtual: https://events.vtools.ieee.org/m/565637