Testing APIs and applications was challenging in the early devops days. As teams sought to advance their CI/CD pipelines and support continuous deployment, test automation platforms gained popularity, ...

What Cherny is describing, in engineering terms, is the operating principle behind test-driven development (TDD). TDD has ...

From generating test cases and transforming test data to accelerating planning and improving developer communication, AI is having a profound impact on software testing. The integration of artificial ...

When LambdaTest was founded, the problem it set out to solve was far more contained but with the rise of AI-generated code and vibe coding, the company rebranded to TestMu AI and added more agentic ...

This session will explore how AI-driven API testing enables teams to handle massive test volumes, complex business logic, and ...

As AI coding tools generate billions of lines of code each month, a new bottleneck is emerging: ensuring that software works as intended. Qodo, a startup building AI agents for code review, testing, ...

Cursor AI Coding is reshaping how developers build software by combining a GPT-powered IDE with intelligent automation. Instead of switching between tools, developers can rely on a single AI coding ...

Future scenarios include AI agents capable of end-to-end 2D and 3D game production with embedded testing, or hybrid models where human developers orchestrate AI modules for complex projects. For indie ...

AI projects stall when clean demos meet messy operations, latency, and governance gaps, limiting enterprise impact.