Pooja Gour@pgour067244917

ProjectDNA is an AI-powered architecture governance system that ensures AI-generated code remains consistent with a project's existing architecture, coding standards, and business requirements. Modern AI coding assistants often generate code that ignores project conventions, introduces incompatible technologies, or violates architectural decisions, resulting in architectural hallucinations and increased maintenance effort. ProjectDNA solves this by maintaining a structured knowledge base containing project architecture, coding guidelines, folder structure, dependencies, API conventions, security rules, business context, and design decisions. Before any prompt is sent to an AI model, ProjectDNA automatically injects only the relevant architectural context, enabling the model to generate code that aligns with the existing codebase. The solution includes a lightweight CLI that allows developers to initialize architecture memory, validate project consistency, and retrieve contextual information. ProjectDNA is designed to integrate with Fireworks AI running on AMD Instinct GPUs, enabling fast inference using open-source large language models such as Llama 3 and Qwen. Our goal is to reduce architectural hallucinations, improve developer productivity, accelerate onboarding, and help teams build reliable, scalable, and maintainable software systems.

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