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AI Backend Code Fails With Vague Specs

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Developers using AI tools like Cursor and ChatGPT for backend development often hit a wall when project requirements are unclear. Instead of producing accurate code, AI begins guessing, leading to flawed business logic, mismatched APIs, and broken authentication rules. One developer discovered that the root problem wasn't the AI itself, but poorly defined backend specifications.

By first mapping out data models, API contracts, and auth rules, results improved significantly. This insight led to the creation of Onvyo, an AI-powered tool that generates detailed backend specs before any code is written. Using a structured interview process, Onvyo produces implementation-ready documentation in Markdown that developers can feed directly into AI coding assistants.

The goal is straightforward: eliminate ambiguity so AI can generate correct backend systems without constant rewrites. Onvyo is now publicly available, with its creator actively seeking feedback from developers who've faced similar challenges with AI-driven development workflows.