Testing, analysis, and management — typically independent functions — finally working together. Powered by AI.
The software source code quality ecosystem consists of three core functions. Today, they operate as independent silos.
The problem: Each function generates valuable signals, but they don't connect. Context is lost. Teams work harder, not smarter.
These three functions form the pillars of software quality. Each is essential. Together, they're powerful.
Validating that software works as intended and is free from defects.
Examining code to identify issues, risks, and opportunities for improvement.
Coordinating work, tracking changes, and managing the development lifecycle.
Beneath testing, analysis, and management lies the infrastructure that makes it all possible — the shared foundation that connects every quality signal.
The unified platform where data flows between systems, results are correlated, and teams share context. This is what transforms independent tools into a connected ecosystem.
Connecting these systems was always the dream. AI is what makes it a reality — turning fragmented data into collaborative intelligence.
By understanding context across testing, analysis, and management, AI connects the dots that humans can't — at scale, in real-time.
Correlates findings across testing, analysis, and management
Suggests fixes based on full context, not isolated signals
Prioritizes what matters by understanding relationships
Generates tests and identifies gaps automatically
Transforms scattered results into clear decisions
Enables teams to collaborate with shared understanding
CodeQunity brings it all together. Three pillars, one foundation, unified by AI — this is the code quality ecosystem, finally connected.
Testing, Analysis, and Management — unified by shared infrastructure, with AI connecting every signal into one collaborative ecosystem.
CodeQunity brings the code quality ecosystem together — so your teams can collaborate, not just coordinate.