Lily Chen is a Senior Software Engineer on the profiling team at Datadog. Prior to joining Datadog, she worked at Slack and has over 10 years of experience in the tech industry. Lily graduated from MIT in 2013, and lived in San Francisco for 8 years before moving to Paris where she currently resides.
Lily is presenting her session, streaming live from Paris, France during the 24 hour Artificial (Un)Intelligence Conference.
Session Description - LLMs
How do you navigate the strengths and limitations of LLMs in real-world engineering? In this talk, I'll share insights from my hands-on experience as a front-end engineer working with AI tools like GitHub Copilot, ChatGPT, and Claude in daily workflows.
Through practical examples, including a deep dive into time series trend detection for memory leak analysis, I'll demonstrate how the context-dependency of a problem impacts an LLM's ability to provide meaningful solutions.
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