While AI-powered software development tools transform the SDLC by accelerating development and shortening time-to-market, they also bring significant risks related to security and code quality prompting leaders to tread carefully. This eBook provides a framework for leaders to maximize Generative AI’s potential and achieve strategic goals through seamless integration.
Key Highlights:
- AI-Infused Software Development Lifecycle: From drafting requirements and generating prototypes to catching bugs, creating test cases, deployment, and maintenance, explore how Generative AI has seamlessly integrated into the software development lifecycle, unlocking a new era of efficiency and innovation.
- Code Quality and Security Concerns: AI models can introduce vulnerabilities by generating biased or insecure code and raising privacy concerns. Unwanted outputs, hallucinations, and overreliance on AI content can compromise code integrity and complicate maintenance. Discover how leaders can mitigate these Generative AI risks.
- Automated Code Generation with Compage: Explore how Compage, a language-agnostic auto-code generator facilitates AI adoption. Compage, powered by Generative AI, excels in code translation, documentation, flow diagrams, and test case generation, boosting developer productivity, managing technical debt and creating a scalable software foundation.