Judyrabbit

AI can write runnable SQL statements, but it is often unreliable. SQLazyturns SQL development into a step-by-step, verifiable, and auditable workflow, with a compiler to ensure that the final output is correct. How SQLazy works? SQLazy does not generate a huge blob of SQL in one go. Instead, it turns the SQL development into a step-by-step, traceable workflow:

Use semi-natural language syntax to describe what each step does.

Verify the logic at each step – Intermediate results are inspectable.

Let the compiler generate the final SQL.

The final SQL is generated by the compiler, not the LLM. This means:

Zero SQL errors from AI hallucination, with 100% correct results.

The logic is fully auditable.

The output is production-ready.

x.y(argument).z should be OK in syntax, but it is hard to implement. we can not predict which data type y(argument) would return, and if it can perform dot operation further. We have implemented DQL(The syntax mentioned here) by translating to SQL. But we priovide only Chinese version now, we will release the English version serveral months later, please keep an eye out if you're interested