What about test-flakiness, patterns, regression testing, test coverage, robustness, redundancies and developer satisfaction?

AI agents keep learning and changing — figuring out how to version them is key to keeping things safe, reliable and ...

Let me first state my viewpoint: the root of these problems often does not lie in the RPA technology itself, but largely in the development and testing phases, which are the most fundamental yet often ...

Companies are preparing for GST 2.0, focusing on operational challenges, ERP readiness, and tax compliance for the September ...

The textile industry is increasingly recognized as a key pillar in achieving Kenya’s Big Four Agenda and Vision 2030. However, these firms face the challenge of maintaining competitiveness in a ...

The first core step in frontend architecture is to decompose complex systems using "modular" and "layered design," avoiding maintenance disasters caused by code coupling. Modularization focuses on ...

The phrase “Concorde Moment” is reserved for the handful of times one of humankind’s creations is discontinued and entire ...

For many years, Sree Hari Subhash has been a data engineer who has built and implemented artificial intelligence in many ...

Wang, S. (2025) A Review of Agent Data Evaluation: Status, Challenges, and Future Prospects as of 2025. Journal of Software ...

The analysis of neural morphology across Heliconiini butterfly species revealed brain area-specific changes associated with new foraging behaviours. While the volume of the centre for learning and ...

Background Current microbiome-based therapeutics face two prominent issues: the limited clinical efficacy of probiotics and the significant variability in the efficacy of microbiota transplantation ...