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Security & identity · #qodana
Learn how to use .qodana.yml to silence noisy inspections, manage profiles, and exclude generated code to improve the accuracy of your static analysis reports.
Stop fighting thousands of legacy warnings. Learn how to use Qodana baselines to ignore existing technical debt and enforce quality gates only on new code changes.
A diagnostic guide for resolving Qodana CI pipeline failures, including memory timeouts, version mismatches, and suppression errors.
Stop the 'slow leak' of technical debt. Learn how to use Qodana Quality Gates to prevent code regressions by comparing CI analysis against a stable baseline.
Learn how to diagnose and resolve Qodana analysis failures caused by Docker OOM kills and timeout limits using logs and real-time resource monitoring.
We run Qodana linters in CI and upload results to Qodana Cloud using the QODANA_TOKEN environment variable, one project token per pipeline. The token is stored as a CI secret, and I want to settle on a credential policy before rolling this out to more repositories. The trade-off I cannot resolve from the documentation alone: a long-lived project token is ope
Qodana uses a baseline file to differentiate between legacy technical debt and new regressions. When utilizing Qodana Cloud for centralized reporting, the qodana.xml file serves as the source of truth for existing issues to prevent CI failures on established code. In a development workflow where multiple feature branches are developed concurrently, each bran
Integrating JetBrains Qodana via self-hosted Docker runners allows teams to decouple the compute costs of static analysis from the result visualization provided by Qodana Cloud. For projects with low commit frequency, the primary goal is to minimize the resource footprint of the JVM-based analysis engine without sacrificing the historical tracking of issues.
Determine whether Qodana’s incremental analysis cache remains consistent when two or more scans run concurrently on the same repository, a scenario common in CI pipelines that trigger parallel jobs. The documentation describes the cache as a performance optimization but does not specify locking or isolation mechanisms for simultaneous access. Observed latenc
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