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From Capability to Reliability: AI's Fundamental Shift in Six Months
AI 산업의 대전환: 능력 중심에서 신뢰성 중심으로
Why it matters
The article chronicles how AI development moved beyond 'can AI do this?' to 'can we trust and scale it?' in just six months. This matters because the industry shifted from capability-focused to reliability-focused development—agents are no longer experimental but essential, making implementation quality and verification the new bottleneck. Developers must now optimize for trustworthiness and orchestration rather than raw model power.
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MCPAI agentstool callingcontext windowslocal inferenceagent orchestration