Researchers have found that LLM-driven bug finding is not a drop-in replacement for mature static analysis pipelines. Studies comparing AI coding agents to human developers show that while AI can be ...

Code and architecture often fail to convey meaning understandably. Not only humans but also AI models fail due to the consequences.

The rise of AI coding assistants changed how software gets built. Engineers write less manual code. Product teams prototype faster. Founders experiment with new ideas...Read More The post Vibe Coding ...

Abstraction is considered a virtue in software development. However, practice shows that wrong abstractions cause more harm ...

In this article, we'll explore some of the specific techniques and systematic approaches that separate high-performing teams from the rest, and show you how to bridge this growing performance gap.

Enterprise IT environments are growing more complex as organizations modernize legacy systems and rationalize application portfolios. The 2026 Enterprise Architecture Data Quadrant Report from ...

Abstract: Modern software systems in every application domain are increasingly built as distributed systems. Business applications are structured as cooperating microservices, IoT devices communicate ...

If your “microservices” still deploy like a monolith, maybe it’s time to break free with a truly composable AWS architecture. In today’s fast-paced digital landscape, building agile, scalable and ...

Owners of some Jeep Wrangler 4xe hybrids have been left stranded after installing an over-the-air software update this weekend. The automaker pushed out a telematics update for the Uconnect ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Most embedded architects think of AI as a coding shortcut. But the real power isn’t in cranking out boilerplate code, it’s in transforming how we design systems. Imagine capturing key decisions in ...