Seroter’s July 24 reading list covers agentic specs, AI ROI data and brittle architecture
rseroter · x · 2026-07-25
Seroter’s daily reading list links to three pieces: what level of specification is ideal for agentic development, what data is needed to measure AI ROI, and which architecture mistakes make systems hard to change.
The post is essentially a curated roundup rather than a single argument, but the three topics are tightly connected around how to build, evaluate, and maintain AI-heavy systems in practice.
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