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Public story · 2026-07-30 · high
Within 48 hours, three unrelated sources landed on the same structural problem from three directions.
Why now: This entered the 2026-07-30 research corpus from Multiple Sources (arXiv 2607.25398, Enklype Salt, SaaStr) and has enough source evidence to become a public Rabbit Hole story.
Within 48 hours, three unrelated sources landed on the same structural problem from three directions. The HANDBOOK.md benchmark (arXiv, July 28) measured it quantitatively: 36.2% best-case compliance with 20-to-124-page operating procedures. Enklype Salt's Copilot for Word disclosure (July 28) showed the adversarial version: attacker text inside a document overrides the standing policy and then replicates itself. And SaaStr's July 29 teardown of Adobe Marketo argued the inverse constraint, that legacy vendors stopped modernizing their APIs so agents cannot reliably operate the systems even when the instructions are correct. Together they define the actual bottleneck for agent-replaces-SaaS in 2026: not model capability, but the absence of any enforcement layer between a written rule and an agent's action.
Each link below shares sources, entities, or timing with this story.
The rule text can survive context compaction while the behavior it enforces quietly stops, and grepping the summary for that text won't catch the difference.
Comments explaining why a rule exists cut instruction bloat by 99.3%, per an analysis of 247,694 instruction lifetimes across 1,867 repositories.
Sonnet 4.6 and GPT-5 barely cared; TypeScript contracts took one weak model's API coverage from 33% to 100%.
It automates the data-flow, crash-semantics, and commit-history work engineers do by hand.
The errors trace back to how the benchmark pairs pull requests with GitHub issues, not just to model quality.
A preregistered test of 18,000 multi-agent missions shows failures cluster instead of scattering, which breaks the math teams use to size redundancy.
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