Everyoneโs excited about AI agents. But a harder question remains: what would need to be true for them to actually stay aligned with the human job-to-be-done over time? Not just at the prompt, but across decisions, context, and collaboration. Curious how others think about this.
#AgentArchitecture #AgentEngineering #AgentMemory #RuntimeEvaluation #IntentModeling #LLMSystems #AgenticAI #AI #ArtificialIntelligence #JTBD
tonyy (@ttonydev)
@simonw์ ๋ธ๋ก๊ทธ ๊ธ(์์ด์ ํธ ๊ณตํ ํจํด)์ ์๊ฐ์ ๋ฐ์ ์์ฑํ ๊ธ๋ก, ์์ฑ์๊ฐ BDD(ํ๋ ์ฃผ๋ ๊ฐ๋ฐ)๋ฅผ ํ์ฉํด ์ฌ๋ฌ ์์ด์ ํธ๋ฅผ ์กฐ์ (coordinate)ํ๋ ๋ฐฉ๋ฒ์ ์ ๋ฆฌํ๋ค๋ ๋ด์ฉ์ ๋๋ค. ์์ด์ ํธ ์ค๊ณยท์ด์ ๊ด์ ์ ์ค๋ฌด์ ํจํด ๊ณต์ ์ ๋๋ค.
Agent Engineering is the future of AI.
It's an iterative blend of product thinking, engineering, and data science that transforms unpredictable LLMs into reliable, production-ready agents.
Ship fast,
observe deeply,
refine constantly.