Johan

Your agent is blindfolded — Johan Lajili, Poolside AI

Jul 8, 2026 · 9:58

Johan Lajili of Poolside AI argues that the key difference between successful and disappointing AI coding agent experiences is whether the agent has a tight feedback loop to verify its work, essentially giving it "eyes" to test its own outputs. He demonstrates this with his CLI tool Spoolside for VS Code extensions that extracts logs and screenshots to reproduce bugs. Lajili predicts engineers will shift from product engineering to "AIX engineering" — focusing on making AI work on the product rather than on the product itself. He advises building ephemeral testing primitives and investing in agent self-serve tools, analogous to putting on your own mask first on an airplane.

OpenAI + @Temporalio : Building Durable, Production Ready Agents - Cornelia Davis, Temporal

Jan 12, 2026 · 1:18:30

Cornelia Davis, developer advocate at Temporal, demonstrates how the OpenAI Agents SDK and Temporal combine to build durable, production-ready AI agents. The integration, co-developed by OpenAI and Temporal, wraps agentic loops in Temporal workflows, providing automatic retries, event sourcing, and state management that survive process crashes and network failures. A live demo shows a weather alert agent that calls an LLM, invokes tools like get_weather_alerts and get_ip_address, and recovers seamlessly after the worker is killed. Davis highlights that Temporal’s architecture treats processes as logical entities, allowing agents to run for days and handle human-in-the-loop delays without developer-managed infrastructure. She also explains handoffs and micro-agent orchestration, and points to the AI Cookbook on docs.temporal.io with ready-to-run recipes including the OpenAI Agents SDK integration.