A developer recounts their experience using Claude Code for a discount system, which repeatedly generated flawed logic for stackable discounts. After struggling with prompt-based generation, they adopted a spec-driven approach using OpenAPI and Gherkin files. This method, taking only fifteen minutes to define, allowed Claude Code to generate a more accurate implementation, highlighting the value of upfront specification over iterative prompting for complex logic. AI
IMPACT Highlights the ongoing challenge of achieving reliable complex logic from AI coding assistants and the potential benefits of structured specification.
RANK_REASON The article is a personal narrative and opinion piece about a developer's experience with an AI coding tool, rather than a product release or benchmark.
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