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Security is dead: Long live risk management

CIO

Information risk management is no longer a checkpoint at the end of development but must be woven throughout the entire software delivery lifecycle. They demand a reimagining of how we integrate security and compliance into every stage of software delivery.

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5 dead-end IT skills — and how to avoid becoming obsolete

CIO

CIOs and other executives identified familiar IT roles that will need to evolve to stay relevant, including traditional software development, network and database management, and application testing. And while AI is already developing code, it serves mostly as a productivity enhancer today, Hafez says. But that will change. “As

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CIOs are bullish on AI agents. IT employees? Not so much.

CIO

True AI agents will have the freedom to decide on the processes they run and on tool usage and learn from these decisions, she adds. Frontline AI practitioners have likely seen the amount of customization, quality assurance, and maintenance required to make a somewhat functional agentic workflow, Mikhailov says.

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QA Wolf exits stealth with an end-to-end service for software testing

TechCrunch

QA Wolf , a cloud-based platform designed to detect bugs in software, today exited stealth and announced a $20 million funding round led by Inspired Capital with participation from Notation Capital, Operator Partners and Thiel Capital and several angel investors (among them Peter Thiel). Neither, obviously, are very desirable scenarios.

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Calculating The Cost of Software Quality in Your Organization

OverOps

The following is a guest post from Herb Krasner, an Advisory Board Member for the Consortium for IT Software Quality (CISQ) and industry consultant for 5 decades. Demands of the competitive global economy have placed a strong emphasis on quality across the IT industry, and it shows no signs of going away.

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The early returns on gen AI for software development

CIO

Generative AI is already having an impact on multiple areas of IT, most notably in software development. Early use cases include code generation and documentation, test case generation and test automation, as well as code optimization and refactoring, among others.

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The Linting Advantage: Faster Development, Better Code

InnovationM

Linting is a static code analysis tool that automatically scans your code for potential errors, stylistic issues, and inconsistencies. It helps you maintain code quality, consistency, and readability by identifying and flagging potential problems early in the development process. What is Linting? Why Use Linting?