---
title: "Code Quality Q&A With the JetBrains Qodana Team"
description: "The Qodana team answers frequently searched questions about code quality, distinguishing technical debt from poor code quality and offering practices to reduce cognitive complexity in nested loops. They explain that code coverage measures how much production code is executed by unit tests, while mutation testing evaluates test quality by checking whether tests detect deliberate code changes. Unit tests provide the fastest feedback on code changes by catching regressions close to their introduction and making refactoring safer. To track improvement, teams should monitor static analysis trends such as new issues and technical debt, and also look for fewer Sev 1 issues in production and faster mean time to repair. False positives in automated scanning can be reduced by giving the tool more repository context, such as excluding inspections in qodana.yaml or silencing them with inline comments."
---

# Code Quality Q&A With the JetBrains Qodana Team

[Jetbrains](https://yomu.fyi/company/jetbrains) · Kerry Beetge · Sep 22, 2026

**Type:** Explainer

## Summary

The Qodana team answers frequently searched questions about code quality, distinguishing technical debt from poor code quality and offering practices to reduce cognitive complexity in nested loops. They explain that code coverage measures how much production code is executed by unit tests, while mutation testing evaluates test quality by checking whether tests detect deliberate code changes. Unit tests provide the fastest feedback on code changes by catching regressions close to their introduction and making refactoring safer. To track improvement, teams should monitor static analysis trends such as new issues and technical debt, and also look for fewer Sev 1 issues in production and faster mean time to repair. False positives in automated scanning can be reduced by giving the tool more repository context, such as excluding inspections in qodana.yaml or silencing them with inline comments.

## Context

The Qodana team answers frequently searched questions about code quality, covering technical debt, cognitive complexity, cohesion and coupling, unit testing, tracking improvement, and eliminating false positives in automated scanning.

## Takeaways

- Technical debt is an intentional compromise that creates future work, while poor code quality stems from lack of knowledge; they are not the same.
- To minimize cognitive complexity in nested loops, extract functions, simplify conditions, use iterators or map/filter/reduce, and flatten data before processing.
- Track code quality improvement by monitoring static analysis trends (new issues, severity, technical debt) and observing fewer Sev 1 production issues and faster MTTR.

## FAQ

### How do technical debt and poor code quality differ?

Poor code quality describes the code itself, while technical debt describes a compromise that creates future work. For example, hardcoding values to write a POC quickly is intentional technical debt, whereas hardcoding because the developer does not know about configs is poor code quality caused by a lack of knowledge.

### How can I reduce cognitive complexity in nested loops?

Best practices include avoiding deeply nested loops by extracting functions, simplifying conditions, naming intermediate results, and using iterators, generators, map, filter, and reduce functions. Flattening data before processing also helps reduce cognitive complexity.

### How do I eliminate false positives in Qodana?

For repo-wide false positives, exclude inspections in qodana.yaml. For individual lines or blocks, silence inspections with comments like // NOLINT(<INSPECTION ID>) or // NOLINTNEXTLINE(<INSPECTION ID>). This gives the tool more information about your repository.

**Tags:** [Code Quality](https://yomu.fyi/topic/code-quality), [JetBrains](https://yomu.fyi/topic/jetbrains), [Static Analysis](https://yomu.fyi/topic/static-analysis), [Technical Debt](https://yomu.fyi/topic/technical-debt)

- Source: [Jetbrains](https://blog.jetbrains.com/qodana/2026/09/code-quality-q-a)
- Source URL: https://blog.jetbrains.com/qodana/2026/09/code-quality-q-a
- Ingested by Yomu: 2026-09-22T15:00:10.703Z

[Read original post](https://blog.jetbrains.com/qodana/2026/09/code-quality-q-a)