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Latest Posts
The Governance Blindspot: Mistaking Recklessness for Speed
If there is one mantra that has defined the last decade of tech, it is “move fast and break things.” And looking at the Australian ecosystem right now, we are certainly moving fast. But I worry we are about to break the wrong things. There is a dangerous disconnect playing out in our sector. On
Building High-Performance AI/ML Pipelines with C++ and CUDA
While Python dominates the experimental phase of machine learning, it often hits a ceiling when deployed in production environments where milliseconds matter. A recent article from Whole Tomato dives into why industries like autonomous vehicles, high-frequency trading, and robotics are building their ML pipelines directly in C++ and CUDA. This guide walks through the architecture
RAD Studio 13: New Patch for Smart CodeInsight and Claude
Embarcadero has released an important patch for RAD Studio 13 that updates the Smart CodeInsight AI integration to support the latest Anthropic Claude models. Why is this update needed? Claude recently deprecated some of the models previously supported by RAD Studio. This patch addresses the necessary API and JSON data mapping changes to keep your
AI in Test Automation: Beyond the Hype
The conversation around AI in test automation is often filled with hype, but what does its implementation look like in practice? This post from Ranorex outlines their pragmatic, problem-first approach. Instead of chasing buzzwords, their focus is on how AI can solve the most persistent challenges in testing, particularly the significant time and effort spent
The Code We Didn’t Write: Why the “Integrity Crisis” is the Real Story of OWASP 2025
I know it didn’t always feel like it, but with the benefit of hindsight, Application Security used to be a straightforward game. You wrote your code, you ran your scans, you fixed your warnings, and you went home. But lately there has been a shift. Teams aren’t spending their time fixing the code they wrote
Rethinking ASPM: From Signal Chaos to Defense in Depth
The long-standing security principle of Defense in Depth (DiD) is based on creating multiple layers of protection, much like a medieval castle with walls, a moat, and guards. However, this traditional model, built around a clear network perimeter, is struggling to keep pace with modern application development. The shift to cloud-native architectures, microservices, and rapid
