Speaker
Alex Volkov
2 sessions in this library.
- Should AI Engineers Still Read Code in 2026? The Z/L Continuum — Alex Volkov, ThursdAI
The talk explores the evolving role of AI engineers in 2026, specifically addressing whether they still need to read code generated by AI agents. It presents two opposing viewpoints: one advocating that code is now "free" and human intervention is unnecessary, and another emphasizing the critical need to read every line of code. The speaker proposes that the true question is not *if* engineers should read code, but rather *what level of proof* is required for specific tasks, suggesting a continuum based on task criticality.
- The State of MCP observability: Observable.tools — Alex Volkov and Benjamin Eckel, W&B and Dylibso
The increasing prevalence of Machine Communication Protocol (MCP) agents is creating an observability blind spot for developers. As agents utilize more tools via MCP, understanding their end-to-end execution becomes challenging. This talk introduces observable.tools as a manifesto to drive a community conversation around standardized, vendor-neutral MCP observability, advocating for the adoption of OpenTelemetry (otel) to address this growing issue.