Systems | Development | Analytics | API | Testing

From shopping and food delivery to banking and fitness, mobile users everywhere expect smooth, fast, and bug-free experiences. Behind every efficient mobile app is a team of testers working hard to make that happen – and if you’re one of them, you know it’s no easy task. Mobile testing isn’t just about checking whether a few buttons work.

Complex user tasks often need multiple AI agents working together, not just a single assistant. That’s what agent collaboration enables. Each agent has its own specialism - planning, fetching, checking, summarising - and they work in tandem to get the job done. The experience feels intelligent and joined-up, not monolithic or linear. But making that work means more than prompt chaining or orchestration logic.

Have you ever noticed how your favorite apps just know what you want? Whether it’s a curated playlist that suits your mood, a movie recommendation that hits the spot, or ads that seem oddly relevant, none of it feels surprising anymore. These experiences have become so routine that we barely pause to think, “How does this even work?” But maybe we should.

Key Takeaways As companies continue to scale analytics beyond operational systems, transferring data from generic databases (like MongoDB) to cloud warehouses (like Snowflake) becomes critical.

Learn what a data lakehouse is, its core architecture, and how it compares to data lakes and data warehouses to solve modern data challenges.

We’ve entered a new era where AI is accelerating every part of business—innovation, decision‑making, and unfortunately, cyberthreats. That means right now is the most critical moment for IT and business leaders to strengthen resilience. The window for “getting ahead of risk” is no longer measured in months or years; it’s measured in minutes.

In every industry, leaders are facing the same reality: mission critical applications and databases can’t run on yesterday’s infrastructure. When core systems slow down, the entire business feels the drag from customer experiences to employee productivity to innovation velocity, VSP One is the chosen solution for many wanting to turn data strategy into business momentum. Here’s how two organizations turned their mission critical applications and databases into engines of innovation.

Every experienced developer has shipped code that worked during testing but later failed in production because critical execution paths were never tested. This is exactly why test coverage tools exist to uncover untested code, missed branches, and risky logic that traditional testing often overlooks. Without reliable test coverage, teams are forced to rely on assumptions rather than measurable evidence.

In today’s fast-paced digital environment, REST APIs have become the backbone of modern application development, powering seamless communication between clients and servers. For developers, understanding how to build efficient and scalable REST APIs is essential. This article unpacks the foundational steps of creating REST APIs using Node.js and Express, offering actionable insights for building dynamic server-side applications.

How does your Shopware 6 store’s PHP backend performance compare to other operators of Shopware in general? To answer this question, we have aggregated and anonymized performance data from over 200 Shopware 6 stores over the second half of 2025 and computed benchmark numbers to compare to for the most important page types: Product details, Category, Search, and Homepage. We previously made these benchmarks for 2025 Q1, and 2025 Q2. Going forward, these will be published every 6 months.