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Phase 2 — Close AI-native coverage gaps #3

@lcasarin-maker

Description

@lcasarin-maker

Problem

Only ~22%% of the catalog addresses AI/LLM-specific risks � the actual core of vibe coding.

New entries (each anchored to external evidence)

  • Prompt injection in agent loops � OWASP Top 10 for Agents 2026
  • Over-mocked / assertion-free tests � arxiv:2602.00409
  • Context window gaming / context poisoning � HumanLayer ACE
  • Hallucinated imports / phantom deps � arxiv:2603.28592
  • Echo-chamber review (same model generates & reviews)
  • Architecture drift in long sessions
  • Tokenomics debt (vexp.dev: $300-450 vs $90-135/mo)
  • Spec ambiguity cascade

Target: AI coverage 22%% !92 e45%%.

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