Architecting Future: Five Truths of AI-Native Development
A transformative approach to the software development life cycle where artificial intelligence acts as the primary creator rather than a mere assistant. In this AI-native model, the traditional roles of developers are inverted, positioning human experts as strategic architects and final evaluators who govern the machine’s output. The success of this system relies on a contract-first mandate, requiring rigid, machine-readable specifications and design blueprints before any code is generated. This methodology shifts quality assurance to the earliest stages of production, ensuring that software is built correctly by enforcing strict design rules from the start. Furthermore, the process extends into production maintenance, utilizing AI to identify and prune obsolete code to optimize long-term system health. Ultimately, the source argues that as automation masters the technical execution, human ingenuity must evolve to focus on high-level strategy and precise
