Quality Debt Is the New Technical Debt

Quality debt has emerged as a new challenge in software delivery, fueled by AI coding agents and AI identifying security vulnerabilities, according to recent reports. Unlike traditional technical debt, which accumulates quietly during development, quality debt arises from the rapid pace of code changes and the gap between testing capabilities and the speed at which code is deployed.

This disparity leaves organizations with little confidence in the reliability of newly released code. To address this issue, UiPath has introduced Test Cloud, a solution that employs a maturity model to help companies assess their testing maturity levels. The model identifies three stages of testing maturity: manual testing, scripted UI automation, and automation integrated into the software development lifecycle (SDLC).

UiPath argues that most companies currently operate at the first and second stages, while their development speed has advanced to the final stage of full AI productivity. The company distinguishes between robots and agents, with robots running predefined test cases and agents using AI to adapt to changes in the workflow. UiPath suggests that teams should use robots for stable, repeatable testing and agents for tasks that require human judgment.

The company's demo showcased a fictional banking app, UiBank, where an AI model generates test cases based on requirements and documentation, providing a faster first draft for human review. The agentic test can be converted into a robotic test for efficient repeated runs. Additionally, UiPath's Healing Agent addresses runtime breakage issues, automatically fixing or flagging problems for human intervention.

While the solution is still in its early stages, it provides teams with a comprehensive set of tools to begin addressing quality debt deliberately, offering a path towards a largely autonomous SDLC testing cycle.