In Depth
Agentic systems combine LLMs with persistent memory, tool access, long-running task queues, and sometimes multi-agent coordination. They are being deployed for software development (Devin, GitHub Copilot Workspace), research, and business process automation. Governance challenges are significant: agentic systems can take irreversible real-world actions, accumulate errors across steps, and are harder to supervise than single-turn AI interactions.