Leveraging AI for Secure DevOps
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In this episode, Peter McKee, the Vice President of Developer Relations and Community at Sonar, has over 25 years of industry experience and takes us through the intricate balance between writing quality, maintainable code, and the pressures of rapid development.

We'll explore the potential and risks of using code generation tools like Geni and AI, emphasizing the critical need for static code analysis to catch vulnerabilities early. Peter also shares his predictions on AI's role in security over the next few years and stresses the importance of a vigilant approach when adopting cloud services.

You'll hear valuable insights on tackling technical debt, integrating security practices into everyday coding, and the role of open-source tools in project security. Plus, we'll discuss how tools from Sonar can assist developers in maintaining high-quality, secure code through static analyzers, linters, and IDE integrations.

This episode is packed with actionable advice for DevOps teams, aiming to prioritize code quality and security without compromising speed. The practicality of the advice shared will equip you with the knowledge to enhance your software development lifecycle and protect your projects' integrity, making you feel reassured and confident.

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