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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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Image for The future is AC/DC: the Agent Centric Development Cycle
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The future is AC/DC: the Agent Centric Development Cycle

The era of Continuous Integration, with its familiar processes and workflows, is rapidly coming to an end. Traditional CI relies on developers making small, frequent, iterative commits. Today, the “continuous” part is changing.

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How to optimize SonarQube for reviewing AI-generated code

Without guardrails, AI-generated code introduces technical debt, security vulnerabilities, and reliability issues that are hard to track.

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Image for The architecture gap: Why your code becomes hard to change
Blog post

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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Image for Code generation tradeoffs: A comparison of Claude Opus 4.5 and 4.6
Blog post

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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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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