Learn how Zscaler uses AI for prod to get to RCA for 150K alerts in minutes
On Demand Event | Duration: 45 minutes | Originally aired: January 8, 2026
10x engineers are no longer a myth. At Coinbase, AI already sits in incident channels, reads graphs, checks deploy logs, and flags false alarms so humans can focus on the hard problems. Learn how their engineering teams leverage Resolve AI hundreds of times per week to keep shipping velocity high while maintaining world-class reliability.
For more about how Coinbase made investigation time 72% faster, read the Coinbase case study.
You'll walk away knowing how Coinbase uses AI today to actually run production systems, not just summarize tickets or act as a sidekick in an editor.
Discover why most AI approaches like LLMs or individual AI agents fail in complex production environments and how multi-agent systems enable truly AI-native engineering. Learn the architectural patterns from our Stanford presentation that help engineering teams shift from AI-assisted to AI-native workflows.
Hear AI strategies and approaches from engineering leaders at FinServ companies including Affirm, MSCI, and SoFi.
Software engineering has embraced code generation, but the real bottleneck is production. Downtime, degradations, and war rooms drain velocity and cost millions. This blog explains why an AI SRE is the critical next step, how it flips the script on reliability, and why it must be part of your AI strategy now.
