Spec-Driven Development Offers a Control Framework for AI-Assisted Software Delivery

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As AI tools can generate code, tests, and deployment configs within seconds, software teams face a deeper challenge: ensuring generated output actually matches intended system behaviour. Spec-driven development addresses this by keeping versioned specifications — covering contracts, domain rules, architecture decisions, and acceptance criteria — as the authoritative source of truth throughout the entire lifecycle. Unlike traditional delivery, where requirements disperse into code and pull-request comments, this approach requires every implementation decision to trace back to an agreed statement of intent. AI agents and engineers alike derive code, tests, and documentation from these durable specs, allowing generated output to be evaluated against stable, reviewable constraints. Human accountability is preserved at every approval boundary, with people remaining responsible for intent, risk acceptance, and trade-offs.

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DesiDash Brings Indian Festival Theme to Solana as a Gasless Mobile Arcade Game

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

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