Chris Faraglia
Scale software automation with AI assisted code tools
Using AI to automate repetitive boilerplate setup helps QA engineering teams eliminate pipeline friction, scale workflows, and improve test quality.
In regulated industries, faster testing still has to be defensible
Devs must balance the pressure for faster AI driven releases with the strict requirements for documented validation and clear audit trails.
Why AI Testing Demands Multi-Dimensional Evaluation
Traditional pass or fail testing models fail to capture the probabilistic nature of AI. Teams must shift to multi-dimensional scoring for quality.
AI adoption curves at the speed of compliance
Here's how software testing and quality practices can keep AI moving without losing control.
The Best Practice for CI/CD? Enabling Fast Flow in Program Increments
Embracing Fast Flow positions organizations to swiftly adapt to evolving market demands, maintaining agility and driving sustained success.
Closing the QA talent gap: Test management tools as a solution
Given the constraints of the current labor market, optimizing software testing and quality processes has become essential for businesses.












