Session: AI Won’t Replace You... But Engineers Who Use AI Will
AI is the biggest shift in software engineering since open-source—but only if you use it right. Every software engineer—backend, frontend, DevOps, data science—can 2–3x their productivity with AI. But here’s the catch: AI can also hallucinate, generate misleading code, and waste your time.
So how do you use AI correctly without falling into its traps? In this talk, we’ll cover:
Where AI accelerates your workflow—writing boilerplate code, automating tasks, and debugging.
Where AI fails—logical reasoning, security-critical code, and real-time information.
How to prevent hallucinations—the right way to prompt, verify, and integrate AI into your workflow.
By the end, you’ll know when to trust AI, when to double-check its output, and how to turn it into your ultimate coding assistant. AI is here—engineers who master it will thrive, while others risk falling behind. Let’s make sure you’re on the winning side!
Bio
Payal Godhani is a tech lead with expertise in distributed systems and operating systems, having built a successful career at Intel and Oracle. She has a proven track record in designing scalable, high-performance systems and optimizing infrastructure at enterprise scale. Passionate about mentoring junior engineers, she is dedicated to fostering inclusive, innovative teams that lead in emerging technologies.