In response to the pain points of rapid iteration of front-end education technology, large differences in learner foundations, and a lack of practical scenarios, this paper combines generative artificial intelligence and AI agents to analyze the empowerment logic from three dimensions: knowledge ecology reconstruction, cognitive collaborative upgrading, and teaching methodology innovation. It explores its application scenarios in teaching and learning, sorts out challenges such as technology adaptation and learning dependence, and proposes paths such as building an exclusive AI ecosystem and optimizing the guidance mechanism of intelligent agents to provide support for the digital transformation of front-end education.