AI
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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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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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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Managing the tricky relationship between AI and code security
The sixth installment in our series, where we examine a critical tension in modern development: the tricky relationship between AI and code security.
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Claude Code + SonarQube MCP: Building an autonomous code review workflow
Claude Opus 4.6 has just been released, and we are officially in the age of hyper-speed coding. These incredible tools are able to generate code at even more incredible speeds.
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Automating quality gate success with Claude Opus 4.6 and SonarQube MCP
We’ve all been there: you push a feature branch on a Friday afternoon, convinced it is solid. You switch to the next task, only to get a notification twenty minutes later: quality gate failed.
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