Overview: Cloud-native and microservices architectures are becoming even more central to modern applications, with Java and ...

In this series, we examine what happens after the proof of concept and how AI becomes part of the software delivery pipeline.

Turn a second brain into infrastructure with APIs and semantic search, making knowledge available to apps while reducing ...

The meetings that actually work—the ones where breakthroughs happen and teams leave energized rather than depleted—operate on ...

Aware Infrastructure (PAI) to support generative AI development while enforcing privacy across complex data flows. Using ...

Big AI models break when the cloud goes down; small, specialized agents keep working locally, protecting data, reducing costs ...

The convergence of artificial intelligence, cloud-native architecture, and data engineering has redefined how enterprises ...

Continuous tech-debt monitoring & governance Tech debt removal is typically reactive and ad-hoc exercise. AI can help run periodic scans, update debt scores, and feed insights into tech governance ...

Overview: LLMs help developers identify and fix complex code issues faster by automatically understanding the full project ...

Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and ...

If your business model relies on people forgetting to cancel because the process is too painful, you are a scammer. This kind ...