AI-Accelerated Development

Is your organisation rushing to introduce AI without sufficient data to ensure its accuracy? Will AI accelerate “garbage in/garbage out” software development, where poor requirements introduce the majority of bugs, and prevent their discovery before each release?

This webinar will teach you how AI can break the cycle of bug creation, building quality into software requirements, development and testing.

Rich Jordan and George Blundell will show you how AI automatically combines and augments disparate software requirements, generating clear system diagrams. This creates an accurate “source of truth” for AI model development, while providing clear specifications for engineering, and logical models for test generation. A live demo will show you how these new techniques for AI-accelerated development build speed and quality across the whole software delivery lifecycle, including:

1. Multimodal agents for requirements diagramming – See how AI combines requirements from many sources in clear specifications, with recommendations to fix gaps and bugs.
2. Co-pilots for testing and development – Watch as prompts answer questions about complex systems and requirements, providing the understanding everyone needs to deliver quality.
3. Automated test generation – Learn how to create the smallest set of tests to “cover” changing requirements, testing continuously to find bugs early and at less cost to fix.

Learn how AI agents and “humans in the loop” can work together to build quality throughout software requirements, development and testing.