The Software Development Life Cycle (SDLC) encompasses numerous time-consuming processes, from exhaustive requirement gathering to continuous reviews, ensuring designs meet functional and non-functional requirements and efficient development/delivery along with support.
Watch this insightful webcast on accelerating the SDLC using Generative AI. Discover the transformative potential of Generative AI in streamlining software development stages, from code review to deployment, such as:
- AI-powered code review systems to automatically analyze code quality, identify bugs, suggest optimizations, and enforce coding standards.
- Automated generation of Infrastructure as Code, test cases, and unit/integration tests to boost productivity, speed time to market, and eliminate human errors.
- Using Generative AI to deduce recurring mistakes, offer proactive recommendations, and increase team velocity.
- Leveraging Gen AI in maintenance, leveraging historical data for quick incident resolution.
Key highlights of the webcast:
- Overview of AIMS (AI-led Managed Service), MIDAS (Modernize Innovate Develop using AI Services), and the contribution of Gen AI (Azure OpenAI) in accelerating SDLC Introduction to Azure OpenAI tools and services –
- AI Builder for low or no-code solutions.
- Integration with GitHub Copilot.
- Custom chatbot development capabilities.
- Microsoft Defender for security.
- Microsoft Security Copilot features.
- Case study on how AIMS facilitated legacy app modernization.
