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SQL Quality

SQL Review

AI code review, but for SQL.

Catch SQL anti-patterns, readability issues, performance risks, and safety problems before SQL ships.

Start reviewing SQL with Altimate Code.

The problem it solves

SQL review is slow because reviewers have to check syntax, joins, filters, performance, readability, and data risk manually. Generic AI can comment on SQL, but it does not follow a repeatable data engineering review process.

What it does

Detects SQL anti-patterns such as SELECT *, cartesian joins, missing limits, and function filters.
Flags readability, maintainability, and performance issues.
Grades or summarizes query quality for review.
Explains why each issue matters and suggests concrete fixes.

When to use it

BEFORE

merging SQL or dbt model changes

DURING

pull request review

BEFORE

running exploratory SQL that may be expensive

WHEN

standardizing SQL quality across a team

How it works

Pass SQL to the skill. It runs static analysis and review rules, then returns each finding with a severity level, why it matters, and what to fix.

Tools used

sql_analyze

Analyze SQL for anti-patterns, performance issues, and safety risks without executing it.

altimate_core_check

Run core SQL checks for quality, safety, and review workflows.

altimate_core_grade

Grade SQL quality or review output through Altimate Core.

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