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AI 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 -
AI EngineeringThe agent is the user now: lessons from the founder of WorkOS
WorkOS founder Michael Grinich explains why the next era of AI engineering depends on the systems around agents: identity, permissions, evals, memory, and feedback loops that keep autonomous… Aaron Winston July 8, 2026 9 min read -
AI 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 -
AI 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 -
AI EngineeringTwo labs started dreaming, and they built two different architectures
Anthropic and OpenAI both shipped 'dreaming' for AI memory in May and June 2026, and they built opposite architectures. A look at what each lab shipped, what the… Jim Bennett June 17, 2026 11 min read -
AI EngineeringPostgresFS vs. SQL skills: should AI agents fake a filesystem?
Can an AI agent use a database as if it were a filesystem? Arize compared a Postgres-backed filesystem abstraction with a SQL skill and found that locality, accuracy,… Aparna Dhinakaran Sufjan Fana June 11, 2026 12 min read -
AI EngineeringHow to detect credential theft in AI agent harness traces
In May 2026, a malicious version of a popular VS Code extension spent 18 minutes in the marketplace before anyone caught it. In that time it ran on… Nancy Chauhan June 9, 2026 14 min read -
AI EngineeringBuilding the AI factory for self-improving agents: What’s new in Arize AX
Arize AX is adding managed agents, full-agent experimentation, expanded multimodal support, and Harness-as-a-Judge to help teams observe, evaluate, and improve production agents. Jason Lopatecki Aparna Dhinakaran June 4, 2026 8 min read -
AI EngineeringMicrosoft’s open trust stack runs on OpenInference
Microsoft's open trust stack for AI agents puts ASSERT and Agent Control Specification on top of OpenInference, connecting evaluation, runtime controls, and observability through a shared trace contract. Jim Bennett June 3, 2026 6 min read -
AI EngineeringThe end of fine-tuning: Why evals, context, and traces matter more
Fine-tuning isn't dead, but the way most teams iterate on AI products has split in two. A tiny fraction run continuous RL against their own environments; everyone else… Laurie Voss June 2, 2026 10 min read -
AI EngineeringHow Hermes implements an open source agent harness architecture
Hermes from NousResearch is a strong open-source agent harness. This post examines how its runtime loop, context management, tool scoping, session infrastructure, and orchestration patterns map to a… Aparna Dhinakaran June 1, 2026 7 min read -
AI EngineeringHow to build a better agent harness with traces and evals
Agents are easy to prototype and hard to improve. A repeatable loop of traces, evals, failed-span inspection, and targeted harness changes makes agent behavior easier to debug and… Aaron Winston May 29, 2026 14 min read -
AI EngineeringWhat we learned testing 7 models under the same agent harness
Model swaps look like configuration changes, but they behave more like product migrations. A new model may be cheaper, faster, easier to get capacity for, or stronger on… Nancy Chauhan May 20, 2026 10 min read -
AI EngineeringBuilding a self-improving agent on a context graph of human disagreement
You can build a measurably better agent from data you already have, without retraining a thing. The data is what your experienced humans do when they correct the… Jim Bennett May 19, 2026 12 min read -
AI EngineeringCoding agent tracing and evaluation: An open source tool to improve AI coding workflows
Announcing coding harness tracing for observing, evaluating, and improving coding agent workflows across Claude Code, Cursor, Codex, GitHub Copilot, and Gemini CLI. Duncan McKinnon Chris Cooning Fuad Ali May 18, 2026 5 min read
Don’t ship vibes.
Arize gives AI teams observability and evals to understand and improve agent performance.
