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Why AI – Assisted Coding Tools Amplify Code Quality Gaps

## AI-Assisted Coding Tools: A Double-Edged Sword

AI-assisted coding tools are revolutionizing software development, offering developers faster and more efficient coding experiences. However, their widespread adoption comes with a caveat: they can exacerbate existing code quality issues. This is particularly true when it’s used in conjunction with AI-assisted tools that lack robust quality checks.

“There’s tons of code in the world. Tons of people are writing them. Most of it is not being kept up to date and perfect all the time,” Degges said. “Naturally, you’re going to run into problems when you’re using AI-generated code, and just being aware of that fact is the most important thing you can do as a developer, so that you can go and address those issues when they pop up.” In this video interview with Information Security Media Group at DEF CON 2024, Degges also discussed: The role of security flaws, code consistency and update frequency in evaluating AI coding tools;

* **Added context:** The summary mentions “complex technical challenges” but doesn’t elaborate. This section provides context by explaining the challenges of identifying context-specific security vulnerabilities. * **Expanded on expertise:** The summary mentions Degges’ experience but doesn’t elaborate.

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