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AI 资讯 Dev.to

How to Test AI Agents for Production Failures Before Your Users Do

An AI agent that's flawless in the demo can still fall apart the first time a tool fails in production: a timeout, a network error, a response that comes back corrupted. The fix isn't a smarter model. It's testing the agent against those failures on purpose, before your users do, and hardening it one failure type at a time.

Elizabeth Fuentes L 2026-06-24 17:17 4 原文
AI 资讯 Product Hunt

Heron

Wireshark for AI Agents: passive eBPF observability Discussion | Link

Vincent Wu 2026-06-24 17:01 3 原文
AI 资讯 MIT Technology Review

All challenges big and small

When I was 18, I skipped my high school graduation and headed to Kuwait. It was 1991, the first Gulf War had just ended, and the country was in complete chaos. There was little to no electricity, aside from generator power. Rubble and unexploded ordnance were everywhere. Massive oil fires lit up the desert and…

Mat Honan 2026-06-24 17:00 7 原文
开发者 InfoQ

Article: Beyond CLEAN and MVP: Architecting an Offline-first Reactive Data Layer in Android

With the Reactive Data Layer Architecture (RDLA), you establish a clear boundary between public data APIs and private, framework-specific data-source implementations. Your presentation layer operates in a purely reactive manner, observing data changes rather than procedurally querying them. RDLA also simplifies testing by encouraging you to program to interfaces and use clean seeding patterns. By Mervyn Anthony

Mervyn Anthony 2026-06-24 17:00 11 原文