Gary Brach, Ken Hei, and Brad Cleavenger discuss how Phase Change's assistive AI removes the doubt associated with changing software applications.
Changing software is difficult and expensive, and it can be a major stumbling block to business innovation.
Phase Change's assistive AI will enable software teams to quickly and fearlessly address market opportunities by rapidly assessing the scope and viability of proposed software modifications, and then efficiently making changes without adding the technical debt that reduces system performance and application life span.
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.
Learn how Phase Change's assistive AI creates scale-free software engineering and enables the development team to swiftly respond to market demands.
As software systems grow in size and complexity, they can easily become incomprehensible for individual engineers. They simply get too large and sophisticated for one person to fully understand. As more people are required to comprehend and maintain complex systems, the organization's ability to modify those systems and respond to changing market dynamics diminishes.
Watch President Gary Brach, Director of Engineering Ken Hei, and Senior Software Architect Brad Cleavenger, discuss how system scale affects the ability to modify applications and meet market demands, and how Phase change's assistive AI minimizes scale issues to create scale-free software.
Gary Brach, Ken Hei, and Brad Cleavenger discuss how Phase Change's assistive AI technology will fundamentally change how software is developed so organizations can quickly and confidently respond to changing market dynamics.
While transformative advances in automation, communications' networking, and computer processing in the last 20 years have vastly improved business operations, the same cannot be said for software development.
The process of developing the applications that now run our daily lives hasn't significantly changed since the 1970s.
Sure, we've developed better tools and better ways of communicating with one another during the development process – such agile development techniques – but the underlying software development activities are the same.
This lack of substantial improvement makes it difficult for organizations to quickly respond to changing market dynamics.
However, the future of software development is bright. Organizations will soon be able to quickly and confidently respond to changing market dynamics.
Phase Change's technology will fundamentally transform how software is developed by introducing our assistive AI into the process – enabling organizations to quickly respond to market changes and opportunities.
Watch the following video below to learn why Gary Brach, Ken Hei, and Brad Cleavenger believe Phase Change's technology will fundamentally change the software development process.
This is the third in a series of practical talks by founder and CEO Steve Bucuvalas about Phase Change Software, what we are developing, the math and science behind our technology, and the impact on the software development process.
In this podcast, Steve addresses the fundamental operation for software to be treated as data, which is equality, and begins by asking how we know when a fundamental unit of software is equal to something else? The first talk in this series introduces the idea of compiling programs into an AI representation. In the second talk, the Turing and Rice proofs are shown that they only apply to the mental domain of computation.
Podcast Slides and References
Time Stamps
Slides and References
00:28
Steve Bucuvalas Podcast – Changing the essence of software and creating breakaway efficiency — science podcast 1 of 4
00:36
Steve Bucuvalas Podcast – The Turing machine, the Halting problem, and Rice’s use of the Turing proof — science podcast 2 of 4
This is the first in a series of practical talks by founder and CEO Steve Bucuvalas about Phase Change Software, what we are developing, the math and science behind our technology, and the impact on the software development process.
In keeping with the physics' definition of the term ‘phase change,’ we are changing the essence of software. Taking something that is chaotic and turning it into something coherent. Taking something that is intractable and hard to understand and making it into an AI that actively helps every person in the software development process.
Phase Change President Gary Brach leads a practical discussion with Ken Hei, director of engineering, and Brad Cleavenger, senior software architect, about how Phase Change's technology will transform release management.
