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

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.

wiki/entities/nikolai-sheiko.md

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+# Nikolai Sheiko
+
+#entity
+
+## Summary
+
+Speaker of the talk "Грабли во внедрении ИИ в SDLC" ([[2026-07-30-rakes-in-ai-sdlc-adoption]]). Russian-speaking AI-adoption practitioner/consultant who works with client companies (a frontend-migration team, a European outsourcer, a large-codebase company) on getting real results from AI in the software lifecycle. Background beyond the talk unknown.
+
+## Current Understanding
+
+His through-line: the models are already good enough — **people, companies and metrics are what throttle the gains**. Signature positions:
+
+- The AI-developer is a **manager of an agent-employee**, IO-bound and parallel ([[developer-as-agent-manager]]).
+- **Review is the new bottleneck**; review *with* the agent; measure completed-tasks-without-rework, never LoC/PRs ([[review-is-the-new-bottleneck]]).
+- **Agentic Evolution**: walk the agent through hard tasks, then have it write the manual; verify skills with a context-free subagent ([[solve-first-then-skillify]]).
+- Companies should install and configure Claude Code / Codex rather than build custom AI tooling; buy a **teacher/curator**, not an external configurator ([[enterprise-ai-reality]]).
+- Best practices matter *more* with agents (compaction curse, AST search over grep); embeddings/RAG over code don't work ([[context-as-scarce-resource]]).
+- AI eats **Intelligence**; **Judgment** (taste or domain expertise) stays human for now.
+
+## Evidence
+
+- All positions — [[2026-07-30-rakes-in-ai-sdlc-adoption]].
+
+## Related Pages
+
+- Concepts: [[developer-as-agent-manager]], [[review-is-the-new-bottleneck]], [[solve-first-then-skillify]], [[enterprise-ai-reality]], [[context-as-scarce-resource]]
+- Entities: [[swepr]] (he cites their Stanford chart as the stakes — "be in the top half"), [[thorsten-ball]] (fellow frontier practitioner; they disagree on skills — Sheiko builds skill evolution, Thorsten uses none)
+
+## Contradictions / Uncertainty
+
+- His client cases are anonymous and self-reported; no numbers are verifiable. Status: tentative.
+- Identity/affiliation beyond the talk unknown (the raw doc names only the talk itself). Status: tentative.
+
+## Next Questions
+
+- Who is he professionally — independent consultant, agency, vendor? Affects how to weigh the "you don't need custom AI development" claim (it is also a consultant's pitch).