India, April 24 -- The Harness AI Software Delivery announcement highlights a core issue that many teams quietly struggle with. Modern software environments are complex, but the data that explains them is scattered across tools, pipelines and systems.

As AI adoption grows in engineering workflows, this fragmentation becomes a serious limitation. AI agents can only act on what they see. And right now, they are often working with incomplete information, leading to slower decisions and potential risks. This is where Harness is focusing its effort, closing the visibility gap rather than just adding more automation.

Through the Harness Google Cloud integration, the company is combining its Software Delivery Knowledge Graph with Google Cloud'...