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Modern Software Development For Today's Systems & Applications
The latest News and Information on Software Testing and related technologies.
The Push and Pull between Validation and Creativity
In this episode, Petr Nohejl of Warhorse Studios joins us to explore one of game development’s most constant tensions: creativity versus validation. From technical constraints like file naming limits and tooling rules to the challenge of keeping large teams productive, Petr shares real-world examples of why validation systems exist—and why they can feel frustrating to developers pushing creative boundaries. Together, we unpack how this “push and pull” ultimately leads to better-performing pipelines, more scalable production, and stronger games.
Why Banks Struggle to Balance AI Speed with Compliance
A strategic framework for using AI-powered quality engineering to accelerate delivery without sacrificing regulatory requirements.
Top Challenges Hospitals Face Without a Centralized HMS - And How to Solve Them (2026)
Most hospitals are digitally enabled, but not digitally connected. Patient information exists across registration systems, EHRs, lab software, pharmacy tools, and billing platforms. Each system captures data, but none owns the full patient journey. Staff move between screens, re-enter information, and rely on manual coordination to keep workflows moving. This is the underlying reality behind the challenges hospitals face without a centralized HMS.
AI in Credit Underwriting: Improving Risk Assessment Accuracy
For years, credit underwriting was pretty straightforward. Lenders looked at a few fixed factors like credit scores and income, to decide who was worthy of a loan. If you didn’t fit the criteria, you were simply rejected. It worked, but only to a point. This approach left out many people who were actually creditworthy and often missed subtle shifts in market stability.
Flaky Tests in Test Automation: How AI Is Finally Solving the Problem
You push a commit. The pipeline goes red. You run it again and get green. No code changed. Nothing in the environment changed. And yet, the result is different. If that sounds familiar, you're not alone. Flaky tests in test automation are one of the biggest hidden productivity drains in modern software delivery, and most teams are still treating them as a minor annoyance rather than a systemic problem. Spoiler: they're not minor. And the way teams traditionally try to fix flaky tests? It mostly backfires.
Are You Token Maxing Wrong? #speedscale #claude #claudecode #softwareengineer #aiagents #aicoding
Stop burning cloud credits blindly, here is how big tech actually scales AI with software factories.
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Run Local LLMs on Mac to Cut Claude Costs
Part of the motivation for this post is how cloud API economics are shifting: Anthropic is moving large enterprise customers toward per-token, usage-based billing (unbundled from flat seat fees), which makes "always call the API" a moving cost line for teams at scale. A hybrid or local layer is one way to keep spend bounded while you still use premium models where they matter.