July 10, 2017
by Todd Erickson
Members of Phase Change's management team address how our technology will bring together an organization's siloed application knowledge to enable faster responses to market demands.
It's a paradox. Your most successful applications get larger and more complex with updates, upgrades, and new features until they become difficult to change and adapt. Now they are hard-to-manage legacy systems that cost ever more time and money to remain valuable.
One of the main reasons applications become difficult to maintain is that knowledge silos emerge – where various people in development and other departments understand small portions of the code, but no one person knows the entire code base.
Then when you bring people together to develop new features that will address market demands or opportunities, each contributor only knows his or her portion of the application code, each person has his or her own mental model of the code, and all of that knowledge is difficult to share.
Learn how Phase Change's assistive AI agent will bridge knowledge silos by understanding the entire code base, presenting a complete and accurate model, and collaborating with engineers and stakeholders.
Todd Erickson is a tech writer with Phase Change. You can reach him at [email protected].