Show HN: AI-native SDLC – 156 test docs, 16 skills, 1 human (github.com)

A new experiment showcases an AI-native software development lifecycle (SDLC) through the creation of Auth9, a self-hosted identity and access management platform. Most of the software was generated by AI across various stages—from planning and coding to testing and deployment—challenging the traditional notion of software quality. The project highlights that, while AI coding tools enhance code writing speed, the real challenge lies in swift and automated verification of that code. By introducing systematic generation of QA and security test documents, along with human oversight, the approach aims to mitigate bottlenecks typically associated with manual testing. This trial is significant for the AI/ML community as it effectively demonstrates the potential for AI to handle complex applications that require stringent security measures, such as IAM systems, where mistakes can lead to substantial bugs. The methodology integrates a collaborative human-AI dynamic, where AI generates and executes tests, while humans oversee and validate outcomes. The project achieves an unprecedented fusion of automation and human judgment, underscoring the evolving role of developers as they shift toward more strategic, oversight-oriented tasks in a highly automated development environment.