Quality engineering must evolve faster than code; otherwise, agentic AI will move quickly, learn rapidly and fail expensively.

Identify sources of unnecessary cognitive load and apply strategies to focus on meaningful analysis and exploration.

Software-defined radio is transforming test and measurement by replacing rigid hardware with adaptable software, enabling ...

Its use results in faster development, cleaner testbenches, and a modern software-oriented approach to validating FPGA and ASIC designs without replacing your existing simulator.

Testing places unique demands on AI. Errors carry real business risk, and fragile tests or slow updates can quickly erode trust in results. As a result, while momentum around AI in testing is strong, ...

We looked globally for a partner that understood 'Quality' not just as testing, but as a culture.”— Gowri Shankar ...

Worldwide engineering teams support AI development services, SaaS product development, and enterprise software ...

The techie wants to leave the job and return to Dehradun to start something independently, to be closer to family, and due to ...

Leapwork recently released new research showing that while confidence in AI-driven software testing is growing rapidly, accuracy, stability, and ongoing manual effort remain decisive factors in how ...

DeviQA named a leader in G2’s Winter 2026 Testing and QA Providers category, based on verified customer reviews ...

Co-author Jon Kern says AI coding tools amplify strengths and expose weaknesses Interview Twenty-five years after 17 software developers gathered at a Utah ski resort to draft the the Agile Manifesto, ...