Large codebases contain a wealth of information, but extracting the right insight at the right time can be challenging. Code Query allows developers to quickly query the codebase and get precise, actionable answers.
Whether you are exploring architecture, hunting for problem areas, or preparing a refactoring, Code Query turns static analysis data into a powerful exploration tool.
Code Query lets developers express questions directly against the analyzed code model. Queries can target types, methods, namespaces, dependencies, metrics, and rules.
Query results are not just lists of elements. Code Query computes aggregated and per-element metrics on the returned set.
This allows teams to quantify the impact of a problem area or measure progress over time.
Code Query supports scope-based filtering to focus on what matters.
Scoped queries help keep results relevant and actionable.
Code Query results can be exported in several formats, making them easy to share, automate, or visualize.
This flexibility makes Code Query a natural fit for both interactive analysis and automated quality checks.
Code Query bridges the gap between raw analysis data and real-world questions. Developers can quickly explore hypotheses, validate assumptions, and identify hotspots without leaving their workflow.
By combining expressive queries, rich metrics, scoping, and powerful exports, Code Query transforms static analysis into an interactive exploration engine.