A global survey of 828 enterprise IT professionals conducted by the Futurum Group finds well over a third of respondents expect their organization to increase spending on software security testing (39%) and application programming interface (API) security (36%) over the next 12 to 18 months. Overall, about 35% said they also plan to make some […]
Perforce Adds MCP Support Across Entire DevOps Portfolio
Perforce Software is making the Model Context Protocol (MCP) that artificial intelligence (AI) tools and agents invoke to access data available across its entire portfolio of DevOps platforms. Jake Hookom, executive vice president of product for Perforce, said the code management, application testing and infrastructure management tools and platforms the company provides will now all […]
Please Grow Up, Coder Launches AI Maturity Self-Assessment Tool
Coder introduces an AI maturity self-assessment service to help organizations evaluate their AI adoption in software development. As teams transition from ad hoc usage to structured workflows, this tool addresses the need for governance and oversight in AI-driven projects.
Opsera Report Highlights DevOps Challenges Created by AI Coding Tools
An analysis published today by Opsera, a provider of a DevOps platform, finds that while adoption of artificial intelligence (AI) coding tools has increased developer productivity they also create more duplicate code, resulting in 15 to 18% more security vulnerabilities per line of code compared to code created by a human developer. Overall, the Opsera […]
The Four Knobs of AI Agent Reliability: A DevOps Perspective
AI agents aren’t chatbots—they’re systems that act. This guide cuts through the hype to show how DevOps teams can configure, trust, and run AI agents reliably in production.
Codenotary’s Free SBOM Service Tackles the AI Software Supply Chain
Just because AI is writing your code doesn’t mean you can stop worrying about software bills of materials. While the quality of AI coding remains open to debate, there’s no question that everyone and their dog is using it. That means, if you’re serious about using AI in production, you must track its code in […]
Futurum Group Survey Sees Increasing Investments in AI to Deliver Software
A global survey of 628 enterprise IT leaders conducted by the Futurum Group finds that increasing investment in generative artificial intelligence (AI) (40%), followed closely by AI and machine learning (ML) technologies (39%) and applying AI to IT operations (37%), also known as AIOps, are expected to be the top three drivers for accelerating software […]
Legit Security AI Tool Uses Threat Feed to Identify Risks to Software Supply Chain
Legit Security this week added a threat feed that DevSecOps teams can use to instantly determine if a newly discovered vulnerability impacts their software supply chain. Built using the Legit VibeGuard tool, the threat feed added to the company’s application security posture management (ASPM) platform also enables DevSecOps teams to take advantage of “vibecoding” techniques […]
AI Is Forcing a Rethink of Software Testing and QA
SmartBear vice president of AI and architecture Fitz Nowlan explains why maintaining software integrity in the age of artificial intelligence requires organizations to double down on testing and quality assurance. He discusses how AI-driven development increases risk and why stronger QA practices are essential for reliable software delivery. Nowlan argues that AI-driven development increases risk […]
GitLab Delivers on AI Agents Promise to Automate DevOps Workflows
GitLab today made generally available an agentic artificial intelligence (AI) platform that automates software engineering tasks ranging from planning to application security. Coinciding with the release of version 18.8 of the core GitLab platform, the GitLab Duo Agent Platform initially provides access to seven AI agents that DevOps teams can assign a range of tasks […]
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