NEWS · CODING · #1904
QCon AI New York 2026 confirms sessions on production agents, evals, and LLM cost controls
QCon AI New York 2026 (Dec 15–16, The Westin Jersey City Newport) has published confirmed sessions from senior engineers covering production challenges for agents, evals, and LLM cost management. Speakers include Nancy Wang (identity/authorization for agents), Ronak Nathani (LinkedIn Kubernetes ops agent), Fabio Flores (DoorDash eval loop), Tejas Chopra (prompt compression and caching), Min Chen (AI-native code review at LinkedIn), and Nathen Harvey (AI maturity at Google Cloud).
KEY POINTS
- QCon AI New York 2026 (Dec 15–16, The Westin Jersey City Newport) has published confirmed sessions from senior engineers covering production challenges for agents, evals, and LLM cost management.
- Speakers include Nancy Wang (identity/authorization for agents), Ronak Nathani (LinkedIn Kubernetes ops agent), Fabio Flores (DoorDash eval loop), Tejas Chopra (prompt compression and caching), Min Chen (AI-native code review at LinkedIn), and Nathen Harvey (AI maturity at Google Cloud).
- These talks provide production-proven patterns, guardrails, and metrics from engineers who run large-scale AI systems, helping teams evaluate and adopt practical solutions while avoiding costly mistakes.
WHY IT MATTERS
These talks provide production-proven patterns, guardrails, and metrics from engineers who run large-scale AI systems, helping teams evaluate and adopt practical solutions while avoiding costly mistakes.