Systems | Development | Analytics | API | Testing

Rust Demo: Rust and C, C++ Mixed-Language Support in Perforce QAC and Klocwork

In this demo, see how Perforce Static Analysis quickly and efficiently scans Rust code to detect security issues beyond memory safety. We also show you how the cross-language capabilities in QAC and Klocwork enable the analysis of mixed Rust, C, and C++ codebases.

Why Your AI Strategy is Breaking: The Power of AI Anywhere with Cloudera

Hey, did you know AI can’t be confined to just one environment? AI is moving faster than ever, but it cannot be confined to a single environment. From the public cloud to on-prem data centers and out to the edge, AI is everywhere. However, when these environments remain siloed, your data strategy breaks—leading to inconsistent governance and scaling roadblocks. In this video, discover the vision of AI Anywhere. To unlock real business value, AI must operate exactly where your data lives, maintaining the same level of control, trust, and security across every platform.

Why Simplified Test Script Creation Is the Future of Load Testing Efficiency in 2026

For many QA teams, the real challenge in load testing isn’t infrastructure – it’s the complexity of legacy, code-heavy test scripts. Over time, the drive to add more scripting features has created a tangle of logic that slows teams down and limits what can be tested efficiently. While advanced scripting offers flexibility, it often comes at the expense of time spent on setup, fragile scripts, and mounting technical debt.

You're not doing AI transformation. You're doing AI decoration.

Every enterprise AI story right now follows the same plot. You pick a system — Salesforce, Workday, SAP, NetSuite — and you bolt an AI agent on top of it. The agent can summarize deals. It can write follow-up emails. It can pull a report without you clicking through five dashboards. It is genuinely useful. And it is not transformation. What you have built is a smarter interface on top of a system designed for humans.

The accountability gap in agentic software delivery

At some of the most sophisticated engineering organizations in the world, the best developers are already writing zero percent of code manually. AI agents are generating features, spinning up test suites, and moving software through delivery pipelines faster than most governance frameworks were designed to handle. The speed is real, and so is the exposure that comes with it.

The 7 Playwright Pain Points Engineers Hit in Production (2026)

Playwright is the standard for modern browser automation in 2026. It provides superior execution speed, native auto-waiting, and deep browser context control. However, running any automation framework at enterprise scale exposes operational friction. When engineering teams move from local execution to continuous integration, they encounter a consistent set of playwright pain points that the framework's official documentation rarely surfaces clearly.

AI in Banking: Use Cases, Architecture & Implementation - The Complete Guide for Financial Institutions (2026)

AI is already embedded in banking systems. The question is whether it’s delivering measurable outcomes or just adding another layer of complexity. Across the industry, investment is not the constraint. Banks spent over $73 billion on AI in 2025, yet most initiatives haven’t translated into production-scale impact. Nearly 95% of generative AI programs remain in pilot mode, and only a small fraction of institutions report clear ROI. The pattern is consistent.

Scaling Embedded Analytics Across Customers: A Practical Blueprint

Embedded analytics is no longer a nice extra. It now shapes revenue, retention, and the customer experience. A few charts in one customer portal can look fine. The same setup starts to crack when it serves hundreds of tenants, each with different data, access rules, and branding. That is the core shift. Teams move from one-off embeds to a product layer that must run across many customer environments. The work is not just visual. It touches latency, isolation, governance, and cost control.

Playwright Visual Regression Testing: A Production Guide to Baselines, Flake, and CI

Native Playwright visual regression is free to start and expensive to scale. The cost shows up in CI, not on day one. Cross-OS rendering breaks pixel diffs: Windows, macOS, and Linux render fonts and spacing differently, so the same code produces different baselines on different machines. Component snapshots beat full-page captures: smaller scope means clearer failure signal, fewer timeouts, and less flake on asset-heavy pages.