This article discusses how AI is transforming software development by significantly lowering costs and speeding up delivery. As a result, businesses must prioritize effective product discovery to ensure that features are valuable and meet customer needs, rather than just increasing volume.

Engineers often resist product discovery, viewing it as a hindrance to shipping features rather than a means to safeguard investments. By reframing discovery as a risk management tool and emphasizing the value of evidence over assumptions, teams can align engineering perspectives with user-centered practices. Successful integration of discovery processes should focus on reducing uncertainty and making informed decisions based on varying stakes and evidence levels.