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Tackle quality, risk, and productivity using SonarQube

Browse our top use cases tailored to your needs and all the ways you can get more out of Sonar.

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FEATURED USE CASE

High quality code in the age of generative AI

Generative AI is trained using human code, at higher volumes and faster speeds, and its output includes all the same issues as human-created code. To maximize the advantages of generative AI in coding, developer teams need robust DevOps processes, reporting, and metrics that focus on code quality, security, and reliability.

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ai creating code

Use cases

Our use cases highlight the key areas your organization can tackle to achieve high quality, secure code at scale.

USE CASE

High quality code in the age of generative AI

Creating maintainable, reliable, and secure software requires high-quality code, regardless of the origin, whether human-written or machine-generated.

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USE CASE

The cornerstone of modern DevOps transformation

Poor quality code is the curse of modern DevOps, hindering the benefits that DevOps aims to bring. Sonar is an essential part of DevOps that helps reduce rework and rollbacks while improving the quality of releases and development velocity.

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USE CASE

Reduce risk when outsourcing software development

Outsourcing is essential for many businesses, but not without risks. Sonar standardized coding guidelines reduce those risks and ensure that software produced externally stays consistent and aligns with established quality expectations.

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USE CASE

Prevent, reduce, and manage code-level technical debt

Struggling with an unmanageable, complex codebase? Unlock software innovation with Sonar’s proactive strategy to reduce and prevent technical debt, while enhancing application lifespan and project outcomes.

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USE CASE

Secure by design

Code security is critical for business success. Sonar enables organizations to adopt a shift-left approach, seamlessly integrating security into the early stages of software development in alignment with NIST Secure Software Development Framework (SSDF) guidelines.

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FEATURED SONAR ARTICLE

Modern DevOps transformation begins with static code analysis

The landscape of software development is continually evolving, and at the forefront of this evolution is DevOps – a methodology that combines software development (Dev) with IT operations (Ops) to shorten the development lifecycle and provide continuous delivery with high software quality. However, challenges arise from inefficient processes to inadequacies in maintaining the balance between speed, quality, and security. The crux of solving these problems may lie in innovative tools and practices, notably Sonar static code analysis solutions.

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code has issues in development lifecycle

Sonar articles

Thought leadership pieces covering important facets of the developer industry.

ARTICLE

Exploring strategies for managing code quality in outsourced software development

In an outsourced setting, where collaboration might involve multiple teams across different locations, maintaining a high standard of code quality becomes even more critical to ensure a seamless integration of efforts.

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ARTICLE

Increasing developer velocity with GenAI

Developer velocity refers to speed and efficiency with which developers can create, modify, and deploy high-quality code. Learn how can Generative AI coding assistants increase development velocity.

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ARTICLE

AI code generation benefits and risks

Artificial Intelligence (AI) code generators have emerged as a transformative force, reshaping the way we approach coding tasks while increasing efficiency & innovation but what are the pitfalls for tech executives and developers?

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DEVELOPER'S GUIDE

Code Review

Code review is a systematic software quality assurance technique for developers in which the code is reviewed to find and fix errors, improve code quality, and enforce coding standards.

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ARTICLE

Modern DevOps transformation begins with Static Code Analysis

DevOps underperformance challenges stem from the ongoing conflict between code quality and faster delivery timeframes. Discover how Static Code Analysis helps solve the underlying performance issues in today's highly automated DevOps cycle.

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FEATURED DEVELOPER GUIDE

Technical Debt Developer's Guide

Technical debt refers to the future costs of rework or maintenance that arise from prioritizing speed and short cuts over code quality in software development, with the debt accumulating over time and requiring resources to be paid off, making it crucial to address and minimize from the start of a project. Technical debt and its many facets can have a significant impact on software development lifecycles.

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code has bugs, smells, and security issues

Developer Guides

Core topics for developers focusing on code quality, security, and main tenets of the DevOps CI/CD workflow.

DEVELOPER'S GUIDE

SAST

SAST (Static Application Security Testing) is a software testing technique used to identify security vulnerabilities in the source code of an application without executing it, helping developers find and fix potential issues early in the development process.

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DEVELOPER'S GUIDE

What is AI code generation?

AI code generation involves using software tools, powered by Artificial Intelligence (AI) and Machine Learning (ML), to write computer code. Learn about the cutting-edge technology that is being utilized by developers and companies alike.

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DEVELOPER'S GUIDE

Refactoring

Refactoring is the process of improving existing code by restructuring its internal design without changing its external behavior, aiming to enhance understandability, modifiability, and maintainability while reducing the risk of introducing bugs and technical debt.

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DEVELOPER'S GUIDE

Shift left

"Shift left" is a practice that involves moving critical development practices earlier in the software development lifecycle (SDLC).

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DEVELOPER'S GUIDE

Linter

A linter is a developer tool that analyzes source code for errors, vulnerabilities, and stylistic issues to improve code quality.

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DEVELOPER'S GUIDE

AI-Assisted software development guide

Artificial Intelligence is evolving into a formidable partner for developers seeking enhanced productivity and efficiency. Delve into the core aspects of AI-driven software development, exploring the tools, technologies, and practices that can amplify your coding prowess.

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DEVELOPER'S GUIDE

Debugging

Debugging is the process of tracking down and eliminating issues in software applications such as bugs and vulnerabilities that may arise due to bad coding, architecture, or implementation.

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DEVELOPER'S GUIDE

Code Quality

Code quality describes the general evaluation of a piece of software code's effectiveness, reliability, and maintainability.

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DEVELOPER'S GUIDE

SDLC

SDLC (Software Development Life Cycle) is a structured and systematic approach to developing software, encompassing all phases from initial planning and requirements gathering to deployment and maintenance, ensuring a well-managed and efficient development process.

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DEVELOPER'S GUIDE

OWASP

OWASP is a nonprofit entity aimed at bolstering the security of software through a collaborative platform where security experts and developers contribute.

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DEVELOPER'S GUIDE

Infrastructure as Code (IaC)

Infrastructure as Code (IaC) is a revolutionary approach that allows you to automate, standardize, and streamline infrastructure management, unlocking unprecedented efficiency, reliability, and scalability in your development workflows.

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DEVELOPER'S GUIDE

Technical Debt

Technical debt refers to the future costs of rework or maintenance that arise from prioritizing speed and quick fixes over code quality in software development, with the debt accumulating over time and requiring resources to be paid off, making it crucial to address and minimize from the start of a project.

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DEVELOPER'S GUIDE

CI/CD

CI/CD is a set of practices that automate the process of building, testing, and deploying software. It helps to improve the quality and speed of software delivery.

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DEVELOPER'S GUIDE

Why you should use a linting tool

What does a linter do, and what are the benefits of using one? From ensuring error-free code that is secure, consistent, and maintainable, to the impact on developers themselves a linting solution is an invaluable tool for every developer.

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DEVELOPER'S GUIDE

DevOps

DevOps is a collaborative approach to software development and operations that emphasizes the integration and automation of processes, tools, and teams to enable the continuous delivery of high-quality software products.

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Resources and news

The latest from Sonar

Image for Claude Opus 4.7: An evaluation review & metrics benchmarks
Blog post

Claude Opus 4.7: An evaluation review & metrics benchmarks

Discover how Claude Opus 4.7 cuts code volume by 40% but increases vulnerability risks. See the full technical audit of bugs, complexity, and code smells.

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Image for When linting is not enough
Blog post

When linting is not enough

Is linting enough for AI-generated code? Discover why deep static analysis, control flow, and taint analysis are critical to preventing vulnerabilities and architectural decay in agent-centric development.

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OpenAI logo under a magnifying glass, symbolizing an evaluation of the OpenAI LLM security model on a technical grid.
Blog post

OpenAI GPT-5.5: An evaluation

Is OpenAI's GPT-5.5 safe for production? Explore our independent 4,444-task Java benchmark. See why its security is top-tier but its 'verification debt' is high.

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