As the graphic on the left shows, Augmented Development Studio provides a cohesive environment – what we might call a single pane of glass – for managing multiple GenAI toolsets and pre-trained large language models (LLMs). It’s an open portal, and it’s trained with company knowledge and data to improve quality, functionality, and product interaction through the consolidated adoption of tools. Augmented Development Studio can be integrated directly with the organization’s own software development lifecycle tools, and the generated output can be directly checked into those same tools.
Four of the principal services shown in the graphic – Product Backlog, Code Generation, Test Case Generation, and Document Generation – are already available, with just one more to follow. The API Gateway links to client platforms, making the solution fully customizable to organizational needs, and the Policy Management and GenAI Guardrail functions are planned for future phases. Using Augmented Development Studio, development teams, architects, product owners, business analysts, executives and more have access, functions, and reporting capabilities that are commensurate with their roles.
Development teams and individual users can incorporate multiple sources of embedded data, unstructured data, analytical data, and transactional data in the platform, as well as data platforms that store all reference data and metadata for their use. The Model Hub accessed by the solution’s engine is LLM-agnostic, and as we’ve just seen, the engine will also incorporate guardrails that protect against potential GenAI bias.
