AI-Enabled Code Analysis in DevOps

When we think of artificial intelligence (AI), everyday chatbots like ChatGPT and Google Gemini often come to mind. However, AI extends far beyond chatbots and integrating it into your organization can be more efficient and simpler than you might expect. 

Join Turnberry and the 1904labs team for a live demo where Brandon Fischer, Eli Ball, and Kanika Sharma will showcase how AI can be leveraged to automate code analysis and streamline DevOps workflows to rapidly analyze large codebases, detect design violations, and generate actionable reports for development teams. They’ll also explore how combining AI with human aspects enhances the accuracy and effectiveness of code. 

Here’s what you can expect to see:

• How AI can reduce the time required to analyze code and identify violations 
• The role of human expertise in AI-assisted code reading and decision-making 
• Leveraging multi-cloud solutions to integrate AI seamlessly into your DevOps pipeline 
• Real-world use cases of AI in automating manual processes and improving development workflows 
• Cost benefits of automating code compliance checks with AI-driven tools