Spec-Driven Development With AI Agents Offers Path to Traceable Code Delivery

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A methodology called Spec-Driven Development (SDD) is being proposed as a structured alternative to informal AI-assisted coding, where developers rely on large language models without a documented rationale. SDD replaces ad-hoc prompting with machine-readable JSON contracts that define inputs, error handling, and expected outcomes before any code is written. AI agents operating within this framework follow a multi-step loop that includes plan validation, code generation, and automated testing, with each step logged to create an auditable evidence trail. The approach is designed to address enterprise concerns around security, complexity, and the risk of undetected errors introduced by non-deterministic language models. Proponents argue that shifting from an output-first to an intent-first mindset is essential for moving AI coding tools from experimental use into reliable, production-grade software delivery.

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