Systems | Development | Analytics | API | Testing

Look, if you're starting a new Java web project in 2026, you should probably just use Spring Boot. With 14.7% usage in the 2025 Stack Overflow Developer Survey and a 53.7% admiration score among all web frameworks, it remains the default choice for modern Java web development. It has the largest ecosystem, best documentation, most active community, and strongest cloud-native support—now enhanced with built-in AI capabilities through Spring AI.

When discussing the process of testing an API, one of the most common sets of terms you might encounter are “mocks” and “stubs.” These terms are quite ubiquitous, but understanding exactly how they differ from one another - and when each is the correct method for software testing - is critical to building an appropriate test and validation framework. In this blog, we’re going to talk about the differences and similarities between mocks and stubs.

Data democratization is a strategic priority, but most organizations struggle to provide Snowflake access to non-technical teams. Business analysts, data scientists, and operations teams need data for dashboards, reports, and applications—yet they lack the programming skills to build API integrations. DreamFactory solves this challenge by enabling zero-code REST API creation from Snowflake, complith point-and-click security configuration, automatic documentation, and no programming required.

Streaming your data with Apache Kafka, at its core, involves moving data from one point to another in real time, much like a river flows from its source to its destination. However, beneath this seemingly straightforward goal lies significant complexity and hidden costs. The multitude of available deployment options, hosted and managed Kafka services, and design choices make it difficult to navigate the data streaming landscape.

Gartner just published research that should be required reading for every platform and infrastructure leader building for the agentic era. The report, "How to Enable Agentic AI via API-Based Integration," makes a stark claim: incrementally reworking existing APIs and connector-based integrations for AI agents is no longer sufficient.

BigQuery now supports managed and SQL-native inference for Hugging Face and Vertex AI Model Garden open models.

Every organization today is racing to embed AI into its core, yet the real question isn’t which model to choose, but how to build an AI capability that truly aligns with your business goals. Should you invest months in training a proprietary model to gain full control and differentiation? Or would adapting a pre-trained model strike a better balance between performance and time-to-market?

QA engineers and developers constantly worry that new updates will hinder the functionality of their applications. Regression testing tools prevent this and ensure that applications run smoothly after a code update. Most QA teams use automated regression testing software to save time and money while speeding up the release cycle. However, these benefits only apply when you use a web testing tool that suits your use cases.

The dust has settled on Las Vegas. We saw transparent TVs, cars that drive sideways, and enough “AI-powered” toothbrushes to confuse a dentist. CES is incredible at selling the dream of hardware. The demos are slick, the lighting is perfect, and everything works on the showroom floor. But as engineers, we know the dirty secret of CES: The hardware is the easy part.

‍ The modern healthcare landscape is going through a massive shift. It is transitioning away from a one-size-fits-all approach towards a model of personalisation. This shift has become a business necessity and not just an IT enhancement. Healthcare organisations today are under pressure to deliver faster, safer, and more coordinated care while managing complex clinical operations and ever-increasing data volumes.