As AI-powered coding assistants become more prevalent, developers are increasingly incorporating AI-generated code snippets into their projects...
But how reliable and secure is it?
The last Dora report made it clear: there is a 7.2% drop in delivery stability for every 25% increase in AI use!
In this webinar, we’ll explore the risks AI-generated code has on development environments. From quality issues to outright security vulnerabilities, we’ll break down real-world examples of how AI-generated code can introduce security flaws, compliance issues, and reduce overall code quality.
Key takeaways include:
• The pitfalls of AI-generated code regarding code quality and security.
• How blind implementation of GenAI code can lead to increased technical and security debt.
• Why traditional reviews often fail to catch AI-induced issues.
• Best practices for validating, securing, and integrating AI-generated code responsibly.
Join us for an engaging session where we go beyond the hype and take a critical look at the risks, while offering actionable strategies to mitigate them - without stifling innovation!
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