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The latest News and Information on Software Testing and related technologies.

Why AI-Generated Code Needs AI-Powered Testing: The Validation Gap Developers Are Missing

You have an AI coding assistant open. You describe a function in plain language, it generates 40 lines of clean, well-structured code in under ten seconds, you review it briefly, it looks right, and you ship it. That workflow is now routine for millions of developers. The speed is real. The output looks authoritative. The problem is that looking right and being right are not the same thing.

QA Tool Sprawl: The Hidden Cost of Fragmented Testing (And How to Fix It)

TestRail for test cases. Selenium for automation. BrowserStack for cloud execution. SauceLabs for mobile. A Confluence page that passes for reporting. Slack threading together everything in between. You have not built a QA practice. You have built a filing system with five different login screens, five separate billing cycles, and five data silos that refuse to speak to each other.

AI Testing Best Practices - Why Human Governance Separates Real AI Platforms from Hype

There is a scenario playing out in QA teams everywhere right now. A team adopts an AI testing tool, runs it for the first time, and gets 300 test cases in minutes. The demo worked. The ROI math looked great. But three sprints later, 60 of those test cases are validating requirements that were updated in the last sprint. Twenty more test a user flow that was deprecated. The AI performed exactly as advertised. The governance system never existed.

Why You Should Stop Buying SaaS and Start Building It

The "Buy vs. Build" rule is dead. Generic CRMs are too slow for lean startups, so we built our own. In this video, Ken breaks down "Radar," the custom AI dashboard we use at Speedscale to automate prospecting and outreach. Stop fighting bloated SaaS and start building the exact tools you need to solve your distribution problem. Learn more: speedscale.com.

Why SaaS is Dying (and what's next) #speedscale #saas #data #datasecurity #devops #technews

Traditional SaaS is a data trap. It’s time to stop sending your most valuable asset to third parties. Enter BYOC (Bring Your Own Cloud): the future of data sovereignty, where the software comes to you. Visit: speedscale.com.

How to Add Intent and Metadata to OpenAPI in Swagger Studio for AI Agents

Modern APIs aren’t just read by developers anymore; they’re also interpreted by tools and AI agents. In this video, Solutions Architect Joe Joyce walks through how to enrich an OpenAPI definition in Swagger Studio with meaningful metadata such as descriptions, summaries, operation IDs, tags, schemas, and examples. You’ll see step-by-step how these additions help tools and automated agents better understand API intent, purpose, and semantics. This turns your OpenAPI definition into a contract that scales beyond documentation.

The quiet crisis in software quality - and what autonomous testing changes

There’s a tension building inside most engineering organizations right now, and not many people are talking about it openly. AI has given development teams an extraordinary gift: the ability to build faster than ever before. Features that once took days can be prototyped in hours. Applications that required large teams can now be scaffolded by a handful of engineers with the right tools. By almost every measure of development velocity, we are living through a remarkable moment.