Phase Change unveils COBOL Colleague product website

December 19, 2018

December 18, 2018

by Todd Erickson

Phase Change announces the launch of its initial product website – CodeCatalyst.ai. The website will support the company's market entry product, COBOL Colleague, the first cognitive tool for software development, by targeting organizations that rely on COBOL-based applications for critical business operations.

The CodeCatalyst.ai website details how COBOL Colleague will assist COBOL reliant organizations with their unique issues, such as a vanishing workforce, lost application knowledge, and lagging productivity.

COBOL Colleague reads-in the source code, extracts the embedded concepts, discovers the dependencies, reveals the buried knowledge, and becomes an expert that never tires and never leaves.

Natural-language-interaction enables developers and stakeholders with limited COBOL experience to collaborate with the cognitive agent and work productively with their COBOL applications.

Find bugs and dead code in seconds, not minutes or hours. Make changes with full knowledge of the downstream impact. Confidently add new features, products, and services. Empower anyone with a basic understanding of COBOL to interact and engage with your COBOL applications.

Everything you dreamed of in COBOL-based environments is now a reality. Visit CodeCatalyst.ai.

Todd Erickson is a tech writer with Phase Change Software. You can reach him at [email protected].

Published by Phase Change Staff in Company

Tags: cobol, cobol brain drain, cognitive agent, industry turnover, legacy systems, natural language, productivity, project team, software development, todd erickson, understanding

Phase Change will bridge application knowledge silos

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].

Published by Phase Change Staff in Applied, Technology

Tags: artificial intelligence, assistive AI, brad cleavenger, business agility, gary brach, ken hei, legacy systems, productivity, project team, software development, system knowledge

Changing the essence of software and creating breakaway efficiency — science podcast 1 of 4

February 16, 2017

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.

Published by Elizabeth Richards in Science

Tags: AI, artificial intelligence, assistive AI, computation theory, developer-engineer, executives, podcast, project team, steve bucuvalas

How Phase Change’s AI impacts release management — video

January 5, 2017

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.

Published by Elizabeth Richards in Applied

Tags: AI, artificial intelligence, brad cleavenger, executives, gary brach, ken hei, normalization, productivity, project team, release management, video

Phase Change unveils COBOL Colleague product website

Phase Change will bridge application knowledge silos

Changing the essence of software and creating breakaway efficiency — science podcast 1 of 4

How Phase Change’s AI impacts release management — video

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