AI-Powered Technical Debt Identification
AI scans codebases to identify and quantify technical debt: code smells, outdated dependencies, duplicated logic, and architectural …
AI scans codebases to identify and quantify technical debt: code smells, outdated dependencies, duplicated logic, and architectural …
How to identify and manage technical debt specific to machine learning systems, covering data debt, pipeline debt, configuration debt, …
The accumulated cost of shortcuts, compromises, and deferred improvements in a software system that increase future maintenance effort.
Understanding and managing technical debt specific to AI and ML systems, covering data debt, model debt, pipeline debt, and strategies for …