Compilable Pseudocode Proposed as Fix for Unreliable AI-Generated SQL

AI tools can generate syntactically correct SQL queries in seconds, but developers often cannot verify whether the underlying logic matches their intent without manually re-executing each step. A key concern is that even a 90% accuracy rate leaves room for silent logical errors that only surface after flawed results have already influenced decisions. The proposed solution is to make specifications formal and compilable, so a deterministic compiler — rather than a probabilistic AI — handles the translation to executable code. Under this approach, a well-defined spec fed to a compiler always produces the same output, eliminating the guesswork stage where AI hallucinations typically occur. The argument is not that AI should be abandoned, but that shifting logic-critical work to a compiler removes the probabilistic uncertainty inherent in current AI code generation.