HITL is essentially a feedback loop where humans oversee the work to refine the model. The goal is transparency and ...

Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and ...

Continuous tech-debt monitoring & governance Tech debt removal is typically reactive and ad-hoc exercise. AI can help run periodic scans, update debt scores, and feed insights into tech governance ...

Avoid these mistakes to build automation that survives UI changes, validates outcomes properly, and provides useful feedback.

For software developers, choosing which technologies and skills to master next has never been more difficult. Experts offer ...

Nearly every SaaS product is either integrating AI or planning to do so. However, the term “AI” has become so broad that it’s ...

Manage test cases, execute manual or automated tests, debug issues, and even fix code—directly within tools like Cursor, Claude, or any MCP-enabled client, using plain English. Similar to the app ...

Abstract: The integration of Artificial Intelligence in Building Automation (BA) enables sophisticated control over systems such as lighting, HVAC, and energy management. Conventional approaches like ...

Foundational libraries, gRPC contracts, development tooling, and testing infrastructure for the Pipestream AI platform ...

Abstract: Ensuring reliability in dynamic web applications is like hitting a moving target, where content constantly changes in response to user interactions and real-time updates. Therefore, testing ...