Developing test systems for R&D through production requires a combination of preparedness and ongoing evaluation. In order to carry out these tasks, the required systems must be capable of performing ...

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

Is quality engineering (QE) an extension of software testing or a complete change in responsibilities? That's a question I want to answer today. As COO of an enterprise test execution cloud platform, ...

Test-Driven Development (TDD) represents an iterative software development strategy in which developers author automated tests before writing the corresponding production code. This methodology is ...

The semiconductor market is evolving, with devices becoming more complex as chip designers add cores and pursue 2.5D and 3D integration strategies. This complexity presents challenges extending from ...

Test data management (TDM) is a crucial practice for ensuring compliant data and providing uniformity to test data. In the same way testing environments and data models are continuously evolving, test ...

With the advent of AI, the industry has moved from writing code from scratch to AI-assisted or “vibe” coding, and is now transitioning toward fully agentic engineering ...

Discover Agentic Engineering, the new paradigm coined by Andrej Karpathy that supersedes vibe coding. Explore how AI agents are taking over software development and how testing infrastructure is ...