Early stage AI projects don’t need rigid testing, but mature products do. Andrew Ng explains why AI engineering tactics must adapt to the project lifecycle. Also in this week's The Batch: 🛠️ Claude Opus 5.5 performance metrics 🛠️ Jev classification model goes viral 🛠️ Devin Fusion lead and sidekick models in one harness 🛠️ Message Passing for decentralized agents Read the full issue:https://hubs.la/Q04ymKnv0 #AIEngineering #MachineLearning #DeepLearningAI