According to Andrew Ng (@AndrewYNg), AI practitioners can maximize their hands-on experience and accelerate application development by leveraging modular AI building blocks and AI coding assistants, especially when time or resources are limited. Ng recommends reducing the project scope to focus on rapid prototyping, allowing builders to iterate quickly and gain practical skills. This approach streamlines the AI development workflow, making it easier for businesses and developers to test and deploy new AI-powered features efficiently (source: Andrew Ng, Twitter, July 3, 2025). This strategy is particularly relevant for startups and enterprises seeking to capitalize on the growing demand for AI-powered applications and to improve their time-to-market in the competitive AI industry.