Sonar's latest blog posts
The Coding Personalities of Leading LLMs
Make smarter AI adoption decisions with Sonar's latest report in The State of Code series. Explore the habits, blind spots, and archetypes of the top five LLMs to uncover the critical risks each brings to your codebase.
How reasoning impacts LLM coding models
This report provides a deep dive into GPT-5’s four reasoning modes—minimal, low, medium, and high—to understand the impact of increased reasoning on functional correctness, code quality, security, and cost.
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Diving into the 3 traits that define your LLM’s coding personality
Our recent “State of code” report moved beyond traditional benchmarks to understand the full mosaic of an LLM's capabilities. The research revealed that while leading models share common strengths and flaws, each has a unique style.
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The Coding Personalities of Leading LLMs—GPT-5 Update
GPT-5’s arrival on the scene adds an important new dimension to the landscape, so we have updated our analysis to include it.
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The Coding Personalities of Leading LLMs
Make smarter AI adoption decisions with Sonar's latest report in The State of Code series. Explore the habits, blind spots, and archetypes of the top five LLMs to uncover the critical risks each brings to your codebase.
Read article >
Securing Go Applications With SonarQube: Real-World Examples
Take a deep dive into some vulnerabilities in Go applications and understand how SonarQube Cloud helps developers detect and mitigate them during the development cycle.
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SonarQube IDE: Announcing support for AI-Native IDEs
As development velocity accelerates, so does the potential for introducing subtle bugs and new security vulnerabilities.
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Java24: Go deeper on parsing Java class files and broader with Stream gatherers
Version 24 version introduces several new language features which collectively simplify code, and provide powerful tools for bytecode manipulation and advanced stream processing.
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Sonar's Take: Software Development Under America's AI Action Plan
The White House's "America's AI Action Plan" aims to accelerate innovation, but for software development, speed must not compromise security. Nathan Jones, VP of Public Sector at Sonar, explores the recently published plan, risks of AI-generated code, and explains how static analysis tools help ensure AI adoption is both fast and secure.
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AI CodeFix is now generally available
AI CodeFix seamlessly integrates AI-driven code fix suggestions into your development workflow with no additional cost for eligible SonarQube subscriptions.
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SonarQube Server 2025 Release 4: Faster analysis, stronger security, better coverage
Our new 2025.4 release empowers developers with significant advancements to enhance code quality, security, and efficiency across multiple languages for your projects and while using open-source code.
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Ley de Ciberresiliencia: Navegando por la velocidad y la seguridad con codificación de IA
El desarrollo de software moderno se ve atrapado entre dos poderosas fuerzas. Por un lado, las herramientas de codificación de inteligencia artificial (IA) generativa aceleran el desarrollo a costa de una rigurosa revisión de seguridad.
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