Sonar introduces AI Code Assurance and AI CodeFix, using GenAI to improve code quality and boost developer productivity.
Sonar has launched two new GenAI tools—AI Code Assurance and AI CodeFix—designed to improve the quality of AI-generated code and streamline developer workflows. These tools address the challenges of ensuring code security and quality while speeding up issue remediation, enhancing both code review and developer experience.
One key challenge developers face with AI-generated code is ensuring its quality. Sonar’s AI Code Assurance helps organizations tag AI-generated projects, enforcing strict quality gate reviews to ensure that both AI-created and human-written code meet high standards of quality and security. With this feature, companies can confidently deploy AI-assisted coding tools without sacrificing code reliability. By automating the code scanning process, AI Code Assurance guarantees that AI-generated code undergoes the same rigorous analysis as human-developed code, reducing the risk of errors and vulnerabilities in production.
The AI CodeFix feature tackles a common productivity issue: manually fixing code errors. Using GenAI fix recommendations, developers can instantly resolve issues identified by Sonar’s analysis engine with a single click. This solution integrates seamlessly into developers’ workflows, allowing them to fix problems directly within their coding environment without switching tools. By minimizing manual debugging and offering immediate solutions, AI CodeFix significantly improves productivity and allows developers to focus on more complex tasks.
Both tools support major programming languages like Java, Python, and C++, making them versatile for different codebases. With these AI-driven capabilities, Sonar not only enhances code quality but also boosts overall developer satisfaction by simplifying workflows and reducing time spent on routine code fixes.