According to DeepLearning.AI (@DeepLearningAI), Andrew Ng emphasizes the importance of sharing AI apps early in the development process to accelerate improvement. In the 'Build with Andrew' series, Ng advises AI developers to present their prototypes to friends, family, or colleagues for actionable feedback. This iterative approach enables teams to identify usability issues, enhance product-market fit, and reduce time-to-market for AI-powered applications. The method is particularly effective for startups and enterprises seeking to leverage AI for practical, real-world solutions, as rapid iteration based on early user input can lead to more successful AI product launches (source: DeepLearning.AI, Jan 15, 2026).

According to DeepLearning.AI, Andrew Ng and Chanin Nantasenamat (The Data Professor) highlight that generative AI is fundamentally transforming the developer workflow by enabling a shift from excessive planning to rapid prototyping and early feedback cycles. This shift allows businesses to test ideas with real data, iterate quickly, and accelerate deployment, significantly reducing development timelines and increasing innovation capacity. As outlined in their discussion, these generative AI-driven practices foster a culture of experimentation, empowering organizations to capitalize on new market opportunities and streamline the product development pipeline (source: DeepLearning.AI on Twitter, September 1, 2025).