AI Engineering
AI engineering is maturing from experimental prompting into a rigorous discipline of architecting observable, standardized, and reliable multi-agent systems.
- • Engineers are increasingly managing multi-agent fleets as a form of distributed systems engineering, emphasizing the necessity of isolation, testing, and observability to handle agent behavior. ↗
- • Agentic development environments are adopting standardized structures for 'harnesses,' including dedicated memory, skill hooks, and guardrails, to move beyond experimental ad-hoc prompting. ↗