
The emergence of AI coding agents like Anthropic’s Claude Code represents a major shift in the software development lifecycle (SDLC). These tools can perform complex, multi-step tasks—building features, fixing bugs, and refactoring codebases—through a conversational interface.
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In this concluding article, we will tackle the advanced topics that separate a basic setup from a professional, enterprise-grade implementation: integrating code coverage, detecting complex security vulnerabilities via taint analysis, and maintaining rigorous standards in the age of AI.
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In this installment, we will examine how to navigate the SonarQube Cloud dashboard, apply the "Focus on New Code" strategy to manage technical debt sustainability, and configure quality gates to enforce your organization’s standards.
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In the previous guide, we covered the installation of SonarQube for IDE to catch issues locally. Now, we move from individual contributions to team collaboration.
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In this guide, we focus on the “standalone mode”—how to install the extension and use it to solve daily coding headaches directly inside IntelliJ.
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In the previous installment of this series, we established a local analysis environment and performed a manual scan of a .NET solution.
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