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All digests tagged AI Agent Development
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CoreWeave Forge unifies the AI loop (Run, Observe, Curate, Improve, Evaluate) into one connected environment. The keynote detailed how to move AI agents from demo to production, featuring the NVIDIA Vera Rubin NVL72 and advanced evaluation techniques.
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Learn how to build sophisticated AI agents using the Codex App Server. This open-source JSON-RPC protocol provides deep control over the Codex harness, enabling custom tools and multi-threaded operations.
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To secure a 'Company Brain,' context must reside in a single wiki with scoped access. Changes require human ownership, and multi-user systems must inject credentials at the HTTP/SQL layer.
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Managed Deep Agents simplifies agent deployment by bundling the Deep Agents harness with infrastructure like Context Hub and durable execution, enabling seamless transition from local code to production scale.
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This session demonstrates tracing a voice agent built with Google ADK and Gemini Live into LangSmith. Tracing provides visibility into tool calls, audio streams, interruption events, and token-level cost breakdowns for production readiness.
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Discover how to build self-healing AI agents by capturing every interaction trace. Learn about Merkle DAGs, Flink SQL anomaly detection, and using proprietary data for specialized model fine-tuning.
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Learn how to optimize AI agent skills using automated reviews. We analyze Qodo's PR Resolver skill, boosting its score from 78% to 89% by refining metadata and structure.
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