You don't jump blindly from full 'Human-in-the-Loop' safety to completely autonomous API execution. You engineer a dial—and you turn it up one notch at a time.
An organic, decentralized mesh of democratic agents reads brilliantly in an academic paper. But in enterprise production, democratic agents lead to infinite loops and massive API bills.
Agents are stateless. Their memory is not. Scaling the LLM reasoning loop is trivial compared to solving the transactional concurrency of agent memory on Kubernetes.
Agentic SDLC is replacing the traditional software lifecycle. Learn the exact architecture, planning phases, and testing frameworks needed to deploy autonomous AI agents in production.