A September Build Lab session outlined four feedback loops — local review, CI, scheduled audits, and channel feedback — for keeping an AI context layer current, with each loop required to produce an o…
Writing extensive context documentation for AI agents is counterproductive because most of it duplicates facts the system already exposes through configs, logs, metadata, and queries, according to a S…
A September Build Lab session, published as a written guide, lays out a four-phase plan for onboarding an AI data agent the way a company hires a data person: orientation, onboard, internship, and hir…
A developer outlines the DNS and hosting steps required to deploy an AI-built app to a custom domain, highlighting common pitfalls such as apex vs. www configuration and SSL provisioning failures. The…