Continuous learning

Too much lock-in for too little gain: agent frameworks are a dead-end // Valliappa Lakshmanan

Too much lock-in for too little gain: agent frameworks are a dead-end // Valliappa Lakshmanan

Lak Lakshmanan presents a robust architecture for building production-quality, framework-agnostic agentic systems. He advocates for using simple, composable GenAI patterns, off-the-shelf tools for governance, and a strong emphasis on a human-in-the-loop design to create continuously learning systems that avoid vendor lock-in.