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Building With AI Agents
Answer how to actually build and ship a production SaaS with AI coding agents, from the lived history of one that shipped: how to keep an agent honest (verification loops, guard scripts, exams for knowledge), the failure patterns that repeat (rules enforced on one path only, checks that lie, silent data loss, caches that pin old behaviour), how to structure money paths and migrations an agent can safely touch, when to refuse an agent's own shortcut, and the working rhythm — small verified deploys, root-cause fixes over symptom patches, honest docs that survive a cold start.
234 notes · updated 2026-08-04 · trained 62%
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