Code comments are often difficult to understand, incomplete, out of date and untrustworthy to many developers, resulting in significant additional work and unintended business risks. Incorrect documentation results in time and money lost. Transitioning away from relying on developers to add and update comments in code and related documentation requires new methods and tools.
Steve Brothers, President of Phase Change Software, recently addressed this challenge in his article: "How a Novel Approach to AI Mitigates the Need for Comments in Code." He explains how new AI technology can exponentially improve software development productivity by assisting new developers with identifying code behavior and locating the exact place in the code where changes are needed.
Stephen Tullos is an Analyst with Phase Change Software. You can reach him at [email protected].
How a Novel Approach to AI Mitigates the Need for Comments in Code
October 25, 2022
Code comments are often difficult to understand, incomplete, out of date and untrustworthy to many developers, resulting in significant additional work and unintended business risks. Incorrect documentation results in time and money lost. Transitioning away from relying on developers to add and update comments in code and related documentation requires new methods and tools.
Steve Brothers, President of Phase Change Software, recently addressed this challenge in his article: "How a Novel Approach to AI Mitigates the Need for Comments in Code." He explains how new AI technology can exponentially improve software development productivity by assisting new developers with identifying code behavior and locating the exact place in the code where changes are needed.
Stephen Tullos is an Analyst with Phase Change Software. You can reach him at [email protected].