October 24, 2022

How COBOL Code Can Benefit from Machine Learning Insight

Most dev tools are not yet capable of identifying the specific lines of code that need to be changed, and unearthing that information is hard cognitive work. While some tools can help improve productivity by suggesting what code to write, software developers still have to use their brains to add new features, fix bugs, implement changes to meet regulatory requirements, address security needs and solve challenging engineering problems. This can drastically affect productivity and increase the risk of application crashes.

Phase Change President Steve Brothers recently shared his thoughts on how COBOL Colleague offers an elegant solution that uses AI to automate the identification of specific lines of code that require attention to this problem in an article tiled: "How COBOL Code Can Benefit from Machine Learning Insight."

Read the entire article here.

Stephen Tullos is an Analyst with Phase Change Software. You can reach him at stullos@phasechange.ai.

October 4, 2022

An AI alternative to code search tools

Would you believe that the average software developer spends roughly 75% of their time just searching through and understanding code to make necessary changes? When software engineers have to spend so much of their time just finding and understanding legacy code, before any real work gets done, they have less time to create new solutions to move an organization forward.

Phase Change President Steve Brothers recently penned an article for the Infoworld New Tech Forum titled, "An AI alternative to code search tools," about how AI tools are becoming available to close the application knowledge gap for developers, promising to exponentially improve developer productivity across applications. Specifically, Brothers wrote about Phase Change's COBOL Colleague, an AI-driven tool that helps developers quickly gain a mental model of a COBOL codebase, and zero in on the exact code they need to change.

Read the entire article here.

Todd Erickson is a Technology Writer with Phase Change. You can reach him at terickson@phasechange.ai.

October 4, 2022

Colleague is a task-oriented tool that identifies the code that needs to be changed and helps with that change

When organizations must make source code changes or migrate applications to alternative platforms, they frequently understand what the code does. Often, the people who wrote the code have departed the organization and someone has to learn a great deal about the code to determine which code matters. This lack of application knowledge introduces significant risk to the organization.

Phase Change President Steve Brothers was recently interviewed by the devmio blog to talk about COBOL Colleague, Phase Change's upcoming product release, which assists developers in focusing on the relevant code for required source changes. In the article, "Colleague is a task-oriented tool that identifies the code that needs to be changed and helps with that change," Brothers talked about how developers can describe the application behaviour to Colleague's AI agent, and it returns only the execution-order code and requisite data needed to reproduce the behaviour.

Brothers also talked about the future of AI in software development and Phase Change's plans for its technology moving forward.

Read the entire interview here.

Todd Erickson is a Technology Writer with Phase Change. You can reach him at terickson@phasechange.ai.

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