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Vibe coding and agentic engineering are getting closer than I’d like 我有预感 2026 年会是我人生中极其重要的一年,在经历了二十多年孤单的自我叙述后,我对软件的理解与我对生活的表达因为 AI 与 vibe coding 开始走向交叉,融合,浸润。以前,我曾专注于做一些大家喜欢,老少皆宜的产品,从今年开始,我发现软件本身却成了自我实现的方式。我学习,成长,设定目标,试图在数十年的人生中不断挑战,活出新的自我,活好每一天,我从学习和成长中编写软件,并从语言的空间中理解各行各业真正的智慧与奥秘,我开始学习歌唱和跳舞,我也学习数学和如何独自一人于林间伐木。我慢慢意识到,从今年开始,仅依赖对话与叙述。我就可以成为任何人,只要我想。
OpenAI-era workflows are splitting into two distinct practices: “vibe coding,” an informal, no-review prompt-and-accept approach useful for rapid prototypes, and a more disciplined professional method recently dubbed “agentic engineering.” The article argues that conflating the two causes real risk—vibe coding breaks down at scale when nobody understands generated code—while agentic engineering describes orchestrating AI agents to implement code under human oversight, with specs, reviews, tests, and ownership of architecture. The author prefers “agentic engineering” (coined by Andrej Karpathy) over “vibe engineering” because it conveys professional legitimacy and clearer responsibilities for teams and hiring. The distinction matters for adoption, risk management, and how orgs structure developer workflows with AI.
AI researcher Andrej Karpathy’s term “vibe coding”—accepting AI-generated code without review—has proliferated and now conflates fleeting prototyping with disciplined, production-safe workflows. The author argues for a clearer term: “agentic engineering,” which Karpathy proposed. Agentic engineering describes orchestrating AI agents that implement, execute, test, and refine code while humans remain architects, reviewers, and decision-makers. That approach preserves engineering discipline—specs, diffs, tests, and oversight—so teams can scale AI productivity gains without the failure modes of unchecked generation. The change in terminology matters because it frames expectations for hiring, governance, and secure, maintainable software development using AI tools.
Vibe coding and agentic engineering are getting closer than I’d like
我有预感 2026 年会是我人生中极其重要的一年,在经历了二十多年孤单的自我叙述后,我对软件的理解与我对生活的表达因为 AI 与 vibe coding 开始走向交叉,融合,浸润。以前,我曾专注于做一些大家喜欢,老少皆宜的产品,从今年开始,我发现软件本身却成了自我实现的方式。我学习,成长,设定目标,试图在数十年的人生中不断挑战,活出新的自我,活好每一天,我从学习和成长中编写软件,并从语言的空间中理解各行各业真正的智慧与奥秘,我开始学习歌唱和跳舞,我也学习数学和如何独自一人于林间伐木。我慢慢意识到,从今年开始,仅依赖对话与叙述。我就可以成为任何人,只要我想。