build v1 of agent ship it (dogfooding counts) ⭐️ collect tracing data ⭐️ ⭐️⭐️ point agentic compute at data ⭐️⭐️ understand failures at scal…

This post outlines a development roadmap for an AI agent system, prioritizing initial version building with internal testing (dogfooding), implementing tracing and observability for data collection, and scaling agentic compute capabilities to process data while improving failure analysis at scale. The starred priority indicators suggest phased development focusing first on core functionality and monitoring before advancing to higher-scale deployment and debugging.

Source: Harrison Chase (X) | 2026-05-17