Why it matters
Focused on production deployment, not demos — speakers go into how multi-agent coding workflows hold up under architecture and security constraints that matter to engineering orgs at scale.
The tokenmaxxing angle
Z.AI's GLM-5.2 is presented as a 1M-token context model for project-scale engineering tasks. Choosing between it and other models for agentic coding is a direct routing and cost tradeoff worth benchmarking.
From the organizers
Cara Li, Head of Global Ecosystem Partnerships at Z.AI, will cover the model layer perspective, specifically GLM-5.2's 1M-token context window for long-horizon agentic coding tasks.