A look at how Optiver, a proprietary trading firm, runs an on-prem AI platform where every model, agent, and harness decision has to show results in P&L within hours. Topics include the inference gateway, same-day adoption of frontier models, the meta harness design, and efforts to bring AI spend back under control.
Jose Palafox, a GitHub Field Copilot Specialist, walks through taking a Copilot agent from a single laptop to an organization-wide, pipeline-hosted system. Topics include how the Copilot harness and CLI work, building custom agents with the agent builder, sharing them through marketplaces, orchestrating cross-repository changes, and running headless agents in GitHub Actions through GitHub Agentic Workflows, with a focus on observability and cost control.
Siraj Gupta of Warp outlines three practical ways software factories can improve over time: self-updating skills driven by outer-loop agents with pull-request review, versioned and traceable persistent memory that works across harnesses, and cost-aware model routing with custom rules and evals.