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From Search on the Web to Search in the IDE Last year we launched AI-driven semantic search for Meraki API docs on developer.cisco.com—but developers live in their IDEs, not the browser. Without the right context, AI assistants in the IDE fall back to outdated or generic knowledge when it generates code. The DevNet Content Search […]

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This blog is jointly written by Amy Chang, Idan Habler, and Vineeth Sai Narajala. Prompt injections and jailbreaks remain a major concern for AI security, and for good reason: models remain susceptible to users tricking models into doing or saying things like bypassing guardrails or leaking system prompts. But AI deployments don’t just process prompts […]

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AI is driving exponential growth in network bandwidth, reach, and power efficiency requirements. The Cisco optical portfolio meets these needs with resilient, scalable, and power-efficient solutions, ready for hyperscalers, neoscalers, and service providers who are deploying the next generation of AI and cloud applications.

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As enterprises embed AI into core workflows, subtle performance issues can quietly undermine trust and outcomes. Discover how traditional networks struggle with AI—and why assurance and architecture must evolve to scale intelligence with confidence.

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Distributed AI workloads are driving unprecedented demands on networking infrastructure. Power efficiency, reliability, and scalability are now mission-critical, and optical innovation lies at the heart of meeting these challenges.

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