Testing the Tester: Who Validates the Humans Evaluating AI?
What calibration runs have taught us about human judgment, ground truth, and the hidden QA problem inside AI evaluation.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Modernizing at the speed of AI: How state and local governments can keep quality in check
For the first time ever, artificial intelligence has topped NASCIO’s annual ranking of state CIO priorities, ending cybersecurity’s 12-year reign at number one. It’s easy to see why: public agencies – like their private sector counterparts – see real potential in AI to modernize operations, accelerate service delivery, and help lean teams do more with fewer resources.
Digital Autonomy in the Cloud Era: Reducing Reliance on Hyperscalers
What would happen if you had to move a mission-critical application off your current cloud platform within the next year? In this webinar highlights reel, experts from Perforce OpenLogic explore why cloud portability, digital autonomy, and operational ownership are becoming strategic priorities for enterprise organizations. The panel opens with a simple but revealing question: How painful would it be to replatform a critical workload in the next 12 months? The answer often exposes hidden dependencies, operational risk, and the true state of an organization's cloud resilience.
Stop your AI agent's $100,000 reordering mistake
See how Fivetran and dbt help an AI reordering agent make more reliable retail decisions. This end-to-end demo shows how trusted data supports smarter inventory decisions across the enterprise.
Tricentis SeaLights: Coverage analysis
Coverage analysis brings your sprint, release, and daily coverage views into one customizable dashboard in SeaLights. It only takes a few steps to build a view: pick what you want to see, set your time range and scope, and get a live breakdown by service. Key highlights: One unified view: consolidate overall coverage, change coverage, and failed test tracking into a single customizable dashboard, built exactly for your team's workflow.
How to solve ecommerce analytics without manual reporting
Automate the way you use data to understand customers, predict demand, and optimize supply chains.
The Risk Behind 103M EOL Node.js Downloads
Legacy Node.js is rarely an awareness problem. It is a risk, cost, and uncertainty problem. Last week, we looked at a striking signal in the official Node.js download data in Node.js Downloads Surge in 2026 as Node.js 24 Takes the Lead. Node.js 24 had become the most downloaded Node.js release, a strong indication that modernization across the ecosystem is accelerating. But something else stood out.
Top Test Automation Providers to Consider for Scalable Software Quality in 2026
As modern engineering teams shorten release cycles, delivering defect-free software without slowing development velocity has become a defining operational hurdle. Manual QA just isn't enough anymore to keep up with contemporary CI/CD pipelines, which is why we're seeing more and more businesses start to look to specialist test automation vendors to design, execute, and manage their automated test suites. But not all automation partners are the same.
How to Set Up End-to-End Performance Testing for Multi-Cloud
Relying solely on a single cloud provider’s published benchmarks can lead to unexpected performance gaps. The Q1 2026 Backblaze report demonstrated that performance varies widely by region and provider – for example, AWS led in US-East file transfers, while Cloudflare R2 and Wasabi outperformed in EU-Central. Without validating real-world performance in every region and for each vendor in your stack, you risk missing critical blind spots that directly affect user experience.
Quantum Computing's Impact on Cloud Testing
Quantum computing is beginning to influence complex scenarios in cloud testing, offering the potential to process vast possibilities in parallel. However, as of 2026, the technology remains experimental. Early hardware is limited in scale and prone to errors, so broad business impact is still several years away. Teams running large-scale performance testing or cryptography simulations should monitor quantum’s progress, but avoid overcommitting resources until the technology matures.