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ingest: Stanford SWEPR widening-gap study and AI-in-SDLC adoption pitfalls

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Add two new sources with summaries, new concepts (developer-as-agent-manager,
review-is-the-new-bottleneck), new entities (SWEPR, Nikolai Sheiko), and a
query on the Stanford source; update related concept pages, overview, index,
and log.
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EugeneTes
2026-07-31 08:33:56 +02:00
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wiki/sources/2026-07-14-gap-between-ai-users-irreversible.md
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- **Concepts:** [[personal-ai-operating-system]] · [[skills-as-memory]] · [[context-as-scarce-resource]] · [[connections-as-moat]] (human-relationship side effect)
- **Related sources:** [[2026-07-14-skills-based-on-git]] (skills-as-memory from the engineering side — strong overlap) · [[2026-07-14-everything-we-knew-about-software-has-changed]] (markdown-as-skill ≈ G-brain markdown tier)
- **Tools mentioned:** [[claude-code]], Claude Cowork, Codex, Flint
- **External corroboration:** [[2026-07-30-stanford-swepr-widening-gap]] — Stanford SWEPR's difference-in-differences study measured the gap between AI-mastering and lagging teams growing 4.8% → 19% (4×) from April 2023 to July 2025; the title claim's first measured, non-practitioner support. (Traced via [[2026-07-30-stanford-widening-gap-source]].)
## Open Questions