The hype around Generative AI is impossible to ignore, but is it enough to transform enterprise software development? This eBook unpacks the challenges of adopting GenAI tools in regulated and security-sensitive environments and explains why they often fall short without a solid framework underneath. Explore gaps, risks, and practical steps organizations can take to responsibly and effectively integrate AI into their development processes. 

Key Highlights   

• While Generative AI tools promise productivity boosts, they often struggle beyond proof-of-concept use cases, requiring significant human oversight. 
• From data exposure to AI-generated malware threats, GenAI adoption brings serious security concerns that demand a proactive approach especially in regulated industries. 
• Using Generative AI for code generation introduces copyright and ownership complexities. Learn what businesses must consider to avoid costly mistakes. 
• Discover how platforms like Capten.ai use an agnostic, requirement-to-code model to generate secure, customizable code while ensuring compliance and scalability. 
• See how combining GenAI with structured engineering platforms helps shift left, reduce costs, and free developers to focus on complex, high-value tasks.