The Productivity-Reliability Paradox arises because AI code generators produce variable output while developers lack sufficient specification discipline, making governance models focused on specifications the binding constraint rather than model improvements.
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Structured specifications as LLM inputs can make high-quality repository-level code generation feasible with better verifiability than natural language prompts.
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The Productivity-Reliability Paradox: Specification-Driven Governance for AI-Augmented Software Development
The Productivity-Reliability Paradox arises because AI code generators produce variable output while developers lack sufficient specification discipline, making governance models focused on specifications the binding constraint rather than model improvements.
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LLM-Assisted Repository-Level Generation with Structured Spec-Driven Engineering
Structured specifications as LLM inputs can make high-quality repository-level code generation feasible with better verifiability than natural language prompts.