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State of Code Developer Survey report: The current reality of AI coding

Sonar analyzes over 750 billion lines of code every day. This gives us a unique, high-level view of the state of code quality and security across the globe.

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The architecture gap: Why your code becomes hard to change

Stop the "silent killer" of engineering velocity. Learn what architectural drift is, why those quick code shortcuts lead to massive technical debt, and how to bridge the gap between your whiteboard designs and your actual codebase.

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Code generation tradeoffs: A comparison of Claude Opus 4.5 and 4.6

We recently ran a small experiment to see how Claude Opus 4.5 and the newer Opus 4.6 handled a specific backend task. The goal wasn't to see which one was necessarily better, but to understand the differences in their coding styles.

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Blog post

Thoughts on Claude Code Security

This blog post aims to explain what Claude Code Security is (recognizing few details are currently available), and how enterprises and developers should think about its role in their cybersecurity toolchain.

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Security that works for you: Exploring the new enhancements in SonarQube

Our latest enhancements in SonarQube establish a non-negotiable code verification layer designed to bridge this trust gap, unifying the analysis of first-party, AI-generated, and third-party code.

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The intelligence paradox: Why Claude Opus 4.6 requires verification

Read on for an exhaustive comparison of the technical architectures of Claude Opus 4.5 and 4.6, an evaluation of their performance across industry-standard benchmarks, and an outline of Sonar’s focus on embracing agentic development.

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