What AWS Kiro Matters for Agentic Development (opens in new tab)

The evolution of artificial intelligence (AI) has transitioned from passive chat interfaces to active, autonomous agents. This shift, known as agentic development, requires a fundamental rethink of cloud infrastructure. In traditional AI workflows, a single request is sent to a large language model (LLM), and a response is received. In agentic workflows, dozens or even hundreds of small, specialized agents must communicate, share state, and access tools in real-time. This creates a massive ne...