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Agent EngineeringHow Uber evaluates AI agents at production scale
A background comment about pizza exposed a failure that Uber’s offline evaluations had missed. The incident helped reveal what production AI agent evaluation actually requires: automatic tracing, living… Sara Verdi August 14, 2026 14 min read -
Agent EngineeringEvaluation-driven development: How to move AI agents from pilot to production
Learn how evaluation-driven development, agent harnesses, AI observability, guardrails, and cost-per-outcome metrics move AI agents from pilot to production. Sara Verdi August 13, 2026 19 min read -
Agent EngineeringHow cheap models changed multi-agent economics
Orchestrator-executor just became the smart default for production agents: an expensive model plans, cheap models execute, and cost per completed task decides the roster. Laurie Voss August 7, 2026 8 min read -
Agent EngineeringHamel Husain explains why AI evals fail before the evaluation begins
Hamel Husain explains why ambiguous inputs, generic metrics, and disconnected review workflows can make AI evaluations misleading, and how developers can build a better process around real production… Sara Verdi July 30, 2026 7 min read -
Agent EngineeringHow to improve agent skills with tracing and evals
A skill cut agent costs by 44% and latency by 56%, but also reduced answer completeness. Here’s how tracing, evals, and a long-running agent exposed and corrected the… Yusuf Cattaneo July 28, 2026 8 min read -
Agent EngineeringTips from Anthropic on building agent evals you can trust
Learn how to build trustworthy AI agent evals using regression tests, capability evals, production traces, LLM judges, and reproducible environments. Sara Verdi July 28, 2026 17 min read -
Agent EngineeringHow Booking.com scales AI observability with Arize
How Booking.com built a unified AI observability stack with Arize for agentic GenAI workflows and traditional ML — from telemetry collection and PII redaction to latency monitors and… Press July 27, 2026 11 min read -
Agent EngineeringHow to write effective AI agent skills: 6 data-backed practices
Three recent studies show what actually makes an AI agent skill effective: human expertise, compact procedures, tight routing, harness-specific testing, and eval-gated changes—not longer Markdown. Laurie Voss July 24, 2026 11 min read -
Agent EngineeringInside Cursor’s agent factory: how it verifies AI-written code
As background agents take on more implementation work, Cursor is rebuilding the software development lifecycle around risk scores, developer-like environments, video evidence, and review systems that learn from… Sara Verdi July 20, 2026 10 min read -
Agent EngineeringFrom human-operated agent development to systematic agent improvement
At Observe 2026, Jason Lopatecki and Aparna Dhinakaran described the shift from human-operated agent development to systematic agent improvement—and what builders should change in their stacks first. Sara Verdi July 14, 2026 10 min read -
Agent Engineering3 production patterns for AI agents and how to evaluate each one
A local coding agent, an in-app customer assistant, and an AI SRE triaging production logs may all use the same model class—but not the same harness, eval plan,… Sara Verdi July 10, 2026 9 min read -
Agent EngineeringWhat is a loop in AI engineering, anyway?
The AI engineering world is using “loop” to describe several different agent architectures. This post maps execution loops, task loops, product loops, system loops, and the human oversight… Aparna Dhinakaran Laurie Voss July 10, 2026 10 min read -
Agent EngineeringOwn the loop: A field guide to agent harnesses
As models become cheaper and more interchangeable, the durable advantage shifts to the agent harness: the loop, tools, memory, permissions, and workflow you can own and refine. Aparna Dhinakaran July 6, 2026 8 min read -
Agent EngineeringWhy AI token costs don’t tell you if your AI is working
Token spend does not prove AI is creating value. Teams need cost-per-outcome metrics that connect AI usage to resolved tickets, accepted code, shipped features, and other business results. Laurie Voss June 19, 2026 9 min read -
Agent EngineeringMeet PXI: the AI engineering agent inside Phoenix
An AI engineering agent built into Phoenix. It works like a coding agent, just point it at your telemetry instead of a source tree. Mikyo King Roger Yang Nancy Chauhan Anthony Powell June 18, 2026 17 min read
Don’t ship vibes.
Arize gives AI teams observability and evals to understand and improve agent performance.
