AI coding tools are reshaping software development, achieving widespread adoption; 90% of developers now utilize them, with many citing increased productivity—over 80% from DORA’s survey report a productivity boost. However, the rise of AI-generated code also brings significant challenges, particularly concerning security and stability. According to recent findings, 72% of organizations have encountered production issues linked to AI coding, with notable vulnerabilities and risks of regulatory non-compliance reported. Surveys indicate a troubling correlation between high AI usage and software delivery instability. To address these challenges, firms like Harness are enhancing their DevSecOps tools, integrating AI assistants that automate testing, security checks, and remediation, setting them apart from competitors. However, organizations still struggle with inconsistent usage of automated security testing. Strengthening collaboration between DevOps and security teams is crucial for maintaining application security and compliance in today’s evolving software landscape.
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