According to DeepLearning.AI, 2025 marked a pivotal shift in artificial intelligence as advanced reasoning models enabled AI systems to 'think before they speak,' significantly enhancing reliability and trustworthiness across applications (source: DeepLearning.AI, Dec 27, 2025). The Batch's year-end analysis highlights three major trends: China's rapid innovation in response to chip restrictions, the evolution of coding agents into indispensable partners for software development, and the catalytic impact of infrastructure investments on U.S. economic growth. These developments underscore new business opportunities in AI infrastructure, cross-border collaboration, and intelligent automation, as leading figures like Andrew Ng emphasize AI's growing role in global technology strategy.

According to Andrew Ng (@AndrewYNg), a new course titled 'Building Coding Agents with Tool Execution' is now available, taught by @tereza_tizkova and @FraZuppichini of @e2b. The course focuses on equipping AI developers with practical skills to build advanced coding agents that move beyond fixed function calls, enabling them to autonomously write and execute code, manage files, and handle errors through feedback loops (source: Andrew Ng, https://twitter.com/AndrewYNg/status/1996250415244235013). A key highlight is the use of E2B's cloud-based sandbox environments, allowing agent-generated code to run securely, mitigating risks of harmful operations. The curriculum emphasizes real-world applications such as data analysis with Pandas and full-stack web development using Next.js, providing immediate business value for enterprises seeking to automate complex workflows with AI agents. This reflects a growing trend toward robust, safe agentic AI solutions, unlocking new market opportunities for scalable automation in data science and software engineering.