Author
Richard Young
Recent posts
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Agent ObservabilityBuilding production-ready AI agents with Atlas Agent Engine and Arize AX
Agents built and deployed on MongoDB’s Atlas Agent Engine can export OpenTelemetry traces to Arize AX, where teams can inspect each run, evaluate both the outcome and execution… Richard Young Ryan Berg September 30, 2026 6 min read -
Agent ObservabilityCrew Studio launches with native Arize AX tracing and evaluation
Through a native Arize AX integration, teams can send traces from Crew Studio to Arize from the first run without custom instrumentation—then inspect behavior, evaluate quality, and test… Richard Young Jesse Miller August 13, 2026 5 min read -
Agent EvaluationKiro CLI observability: trace and evaluate agent changes with Arize Skills
Use Arize Skills with Kiro CLI to trace coding-agent changes, build datasets from failures, run experiments, and validate prompts before shipping. Richard Young July 15, 2026 11 min read -
Agent ObservabilityOne agent, two trace destinations: Arize AX + Databricks Unity Catalog
Send one OpenTelemetry trace stream to both Arize AX and Databricks Unity Catalog so engineers can debug agents in Arize while data teams analyze the same spans in… Richard Young June 15, 2026 6 min read -
Agent EvaluationBring production agent traces from Arize into Databricks Unity Catalog
Arize Data Fabric now supports Databricks, helping teams sync production agent traces, evaluations, and annotations into customer-owned storage for governed analysis in Unity Catalog. Richard Young June 11, 2026 8 min read -
Agent ObservabilityWhy agent telemetry needs standards
Enterprise agents are moving from demos into production workflows, which creates a basic problem: teams need to understand what those agents actually did. Richard Young May 1, 2026 6 min read -
Agent EngineeringHow to add an evaluation harness to your Gemini CLI coding agent
Coding agents can update prompts, wire in tools, and change application logic across your codebase in a single run. The hard part isn’t getting the agent to make… Richard Young April 22, 2026 7 min read -
Agent ObservabilityData Fabric: Querying agent traces in BigQuery
How to join LLM traces with billing, infrastructure, and customer data using Iceberg and BigQuery If you run AI agents in production, you’ve probably run into a simple… Richard Young April 15, 2026 14 min read -
AI ObservabilityArize AX Adds Native Support for NVIDIA NIM as AI Model Provider
We’re excited to announce that Arize AX now supports NVIDIA NIM as a native AI model provider. Enterprises running NIM-deployed models can now connect them directly to the… Richard Young Noah Smolen March 16, 2026 4 min read -
Agent EngineeringMastering Production RAG with Google ADK and Arize AX for Enterprise Knowledge Systems
Introduction Retrieval Augmented Generation (RAG) has become the cornerstone of enterprise AI, yet most organizations struggle with a critical challenge: building RAG systems that work reliably in production.… Richard Young February 23, 2026 11 min read
Don’t ship vibes.
Arize gives AI teams observability and evals to understand and improve agent performance.
