60% Faster Time-to-Interview: Transforming Hiring with AI Agents – LinkedIn
Two LinkedIn engineers who introduce themselves on stage as 'Grace' and 'Chok' (the agenda lists the speakers as Shang Liu and Tracy He) describe how they built hiring agents …
Building Developer Support Agents – Evan Kormos (Coinbase)
Evan Kormos, an engineering manager at Coinbase, tells the story of how a small developer-support engineering team went from zero to one on a self-improving, customer-facing A…
Building Replit Agent v2
Michele Catasta discusses Replit Agent v2, emphasizing increased autonomy and observability.
Day 1 Keynote: The Deep Agents Era – Harrison Chase & Ankush Gola
Harrison Chase and Ankush Gola's Day 1 keynote introduces 'deep agents' as LangChain's agent harness that supercharges the core agent loop with batteries-included capabilities.
Observing and Testing CX Agents – Cisco
Carlos Pereira (Cisco) follows up on his Day 1 talk to show how Cisco observes and tests its customer-experience agents at production scale, across both a renewals team and te…
Production Agents at Scale – Diamond Bishop
Diamond Bishop shares Datadog's lessons from deploying 100+ production AI agents.
Run Untrusted Agent Code with LangSmith Sandboxes – Mukil Loganathan
Mukil Loganathan (Engineering Manager, LangChain) argues that agents are now writing real code across software engineering, data analysis, security pen-testing, and browser/co…
The Production System for Agents – Toyota
Kordel France and Ravi Chandu Ummadisetti of Toyota describe how they built an internal AI platform that ships agents in weeks instead of months, and draw a sustained analogy …