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Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Latest posts
New report: We're adopting AI faster than we trust it. Here's what the data shows.
We surveyed 2,501 IT decision-makers, QA professionals, and business leaders across six countries for our second annual Quality Transformation Report. Respondents came from organizations with 150-plus employees across manufacturing, energy and utilities, retail, financial services, and the public sector. One of the major findings: confidence in AI agents making release decisions dropped from 48% in 2025 to 34% in 2026. That’s a 14-point decline in a single year.
3 proven ways to streamline SAP and Oracle migrations for state & local governments
State and local governments are under growing pressure to modernize the systems that power essential services, from healthcare and human services to transportation and public safety. At the same time, citizens expect fast, seamless digital experiences when interacting with government agencies. To meet these expectations, many agencies are investing in large-scale ERP transformations, including SAP and Oracle migrations.
Countly Now Supports HarmonyOS
Today we're releasing v26.1.0 of the Countly SDK for HarmonyOS — our first official SDK for Huawei's operating system, now available on GitHub. For most product teams outside Asia, HarmonyOS has been easy to overlook. That's no longer the case.
News Analysis 2026: How AI Is Transforming Automated Load Testing for Peak Performance
Automated load testing has reached a turning point in 2026. Artificial intelligence, once a gradual addition, now drives a clear shift in how organizations validate performance. Industry reports project a 15% compound annual growth rate (CAGR) for AI in software testing from 2023 to 2026, underscoring the urgency to modernize testing practices and keep up with rapid development cycles.
Logs told me something broke. Traffic showed me what.
Here’s a problem I run into constantly: something breaks in production, I can see the 500 errors in my logs, but I can’t reproduce it locally. The trace shows me the dependency graph but not the actual request that failed. This is especially painful in microservices. I was looking at a CNCF example the other day (a simple demo app, like 4 pods) and it already had so many cross-service dependencies that understanding what broke required looking at the whole system at once.
QMetry walkthrough: Test management, automation & AI-powered testing
Discover how QMetry streamlines test management with this comprehensive walkthrough covering requirements management, test design, test execution, automation, reporting, and AI-powered productivity features. Struggling with disconnected testing processes, manual test execution, and limited visibility into quality across your software development lifecycle? This complete QMetry tutorial shows testers, QA teams, and engineering organizations how to manage the entire testing workflow in a single platform, from requirements to release.
Approaching how we adopt AI for test: Exploring Xray's AI Test Case Generation
At Assurity Consulting, our experts are deeply experienced in leveraging a variety of industry-leading Test Management tools, with Xray for Jira being a prominent example in our toolkit. Our commitment, however, extends beyond proficiency in a single platform. Our core approach is fundamentally tool-agnostic, meaning we prioritize the client’s unique context, goals, and technological ecosystem over allegiance to any specific vendor or solution.
Integration ROI in Real Estate Software Development: MLS, PMS, and CRM Decisions That Move Revenue
When product teams discuss integrations in real estate software, the conversation usually stays technical: API endpoints, data normalisation, build timelines. Those questions matter — but they miss the more important one: what is this integration actually worth? Integrations with multiple listing service (MLS) feeds, property management systems (PMS), and CRM platforms are strategic product decisions.
AI and Machine Learning in Healthcare Data Analytics: Use Cases, Architecture & Implementation Guide
Healthcare is sitting on a paradox. As per healthcare analytics statistics 2026 It generates more data than any other industry, nearly 30 percent of the world’s total data, yet 97 percent of hospital data still goes unused. That gap is exactly where AI and machine learning in healthcare data analytics are changing the game. We are no longer talking about dashboards or retrospective reports.
Digital Sovereignty, Open Source, and the New Compliance Frontier
In today's operational and regulatory climate, achieving long-term business resilience hinges on digital sovereignty. This video highlights how owning your infrastructure and managing risk are crucial for navigating the digital landscape. We explore the importance of robust business continuity and regulatory compliance in ensuring your organization can adapt and thrive.