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Qodana is a container‑based static‑analysis engine that runs JetBrains inspections inside Docker. This guide details the minimal architecture, data boundaries, operational checks, and failure modes to keep CI pipelines reliable and source‑safe.
An architecture note on wiring Codeac incremental scans into CI: cache design, trust boundaries, operational checks, failure modes, and when to switch to a full‑scan strategy.
Automated PR review bots fail when they block too much. A practical policy for deciding which Codeac findings should stop a merge, and how to measure it in a pilot.
Learn how to set up Qodana’s baseline feature so that only new code issues break your build, with a step‑by‑step guide, verification tips and recovery options.
When a static structural model exceeds a few million DOF, choosing the right solver in Ansys Mechanical is critical. This guide compares Direct Sparse and Iterative PCG solvers, explains trade‑offs, and shows a concrete validation workflow for a 5 M DOF bracket model.
Use Qodana baselines to suppress existing violations and fail CI only on new issues. Worked qodana.yaml config, baseline generation commands, GitHub Actions integration, and common pitfalls like line-sensitivity and inspection-ID drift.
Learn how to forbid raw types in Java by writing a custom Codeac rule in YAML, running the analysis, and verifying the violation appears in the report.
Qodana lets you run JetBrains IDE inspections inside CI pipelines with Docker. Learn how to set up a baseline, export SARIF for PR annotations, and manage memory limits in a practical GitHub Actions example.
Learn how F#'s Units of Measure let the compiler catch accidental mixes of meters, feet, and other units before your code runs.
docker
qodana
ansys
java
dotnet
fsharp