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Code review burden shifts to verification in AI-generated code era

Insight: By early 2026, over 30% of senior developers ship mostly AI-generated code. AI excels at drafting features but makes errors 75% more common in logic alone. The key split: solo developers "vibe" at inference speed with test suites as backstops, while teams demand human review for context and compliance. The fundamental rule: "if you haven't seen the code do the right thing yourself, it doesn't work."

Detail: Osmani identifies a spectrum of AI-assisted review: ad-hoc LLM checks (paste diffs into Claude/Gemini), IDE integrations (Cursor, Claude Code for inline suggestions), and dedicated review tools. The verification burden doesn't disappear with AI — it becomes explicit. Ship changes with evidence (manual verification + automated tests), then use review for risk, intent, and accountability.

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