Fault-tolerant SQL validation is the new battleground. A lively thread dives into better SQL validators, fault-tolerant parsing, and AI-assisted error recovery, spotlighting nao and DB Pro [1].
• Fault-tolerant parsing in practice — Most open-source parsers choke on dialect quirks or fail on incomplete queries, which makes linting and error recovery a nightmare [1].
• Local AI-assisted recovery — DB Pro lets users download and run a local model for SQL assistance, so everything stays on the machine and data never leaves your environment [1].
• UX and error highlighting — The best part is statically highlighting errors in text to let humans or an AI iterate fixes quickly [1].
• Open questions and roadmap — The thread asks whether error recovery was built from scratch or by extending an existing parser, and whether the work will be released as a standalone library [1].
Closing thought — Robust validation is shaping SQL tooling by making errors visible, fixes safer, and AI helpers private by design [1].
References
A better SQL validator and comparison with existing SQL validators
Discussion comparing SQL validators; fault-tolerant parsing; mentions nao tool, DB Pro, local models, AI error recovery ideas and integration questions.
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