Show HN: Sqlsure – deterministic semantic checks for AI-generated SQL (github.com)

Sqlsure has been launched as a tool to provide deterministic semantic checks for AI-generated SQL queries, ensuring their accuracy and reliability. Unlike traditional methods that may overlook critical errors—such as revenue double-counting or exposing sensitive information—sqlsure reviews SQL against predefined team assertions in just 0.1 milliseconds before execution. Additionally, it reported zero false alarms while manually auditing 2,568 expert-written queries, demonstrating its effectiveness in catching errors that systems often miss. This innovation is significant for the AI/ML community as it streamlines the integration of AI-driven SQL generation into production environments by enabling an automated validation mechanism. By using straightforward rule-based checks and maintaining data privacy—which does not require database connections or telemetry—sqlsure can be easily integrated into different frameworks and CI pipelines. This enhancement not only improves the reliability of AI-generated SQL but also facilitates a self-repair mechanism for AI agents, empowering them to generate, check, and amend their SQL outputs autonomously. As a result, sqlsure is positioned to bolster the confidence of teams in using AI for SQL generation in data-driven applications.