Show HN: A primer for non-coders to design software via structured AI dialogue (github.com)

A new approach known as Core Growth Prompting (CGP) has been introduced, enabling individuals without coding skills to design software systems solely through structured dialogue with AI. This primer serves as a foundational guide for initiating conversations with a large language model (LLM), ensuring consistent design principles are applied throughout the development process. CGP was developed to counteract common challenges faced by non-coders, such as maintaining coherence in feature additions and effectively gauging the accuracy of AI-generated information, thereby introducing a structured methodology for assessing features and core design elements. Significantly, CGP categorizes its approach into two versions tailored for different contexts: one for personal projects and another for public-interest cases where multiple stakeholders may have conflicting values. By establishing a priority order—favoring hallucination-resistance over robustness and low latency—CGP mechanisms guide users through the development without destabilizing their initial design. This method not only empowers non-technical individuals to engage in civic tech but also fosters the potential for community-driven software development, as it provides a structured path for building reliable systems in public and private spheres.