AI
System Initiative Adds AI Agents to Infrastructure Automation Platform
Mike Vizard | | Adam Jacob, AI agents, AI in DevOps, AI-powered DevOps, autonomous AI, cloud automation, compliance guardrails, devops automation, DevOps workflows, digital twin, infrastructure as code, infrastructure automation, infrastructure misconfigurations, infrastructure optimization, infrastructure resilience, IT infrastructure management, IT operations, knowledge graph, policy checks, System InitiativeSystem Initiative introduces autonomous AI agents to its infrastructure automation platform, using digital twins to help DevOps teams safely optimize and manage IT environments ...
Staying on Top of Shadow AI
Alexander Williams | | AI adoption strategy, AI compliance, AI governance best practices, AI governance framework, AI in DevOps, AI in regulated industries, AI oversight, AI security risks, AI usage policy, AI workflow monitoring, data governance and AI, enterprise AI adoption, generative AI risks, responsible AI, Shadow IT, unapproved AI toolsShadow AI is the new shadow IT—slipping into organizations unseen, reshaping workflows and decisions before leadership realizes it exists ...
Can AI Replace DevOps Engineers?
Let’s cut to the chase: no, it can’t. Not now. Not anytime soon. In my experience working with engineering teams across industries, I’ve seen just how fast cloud infrastructure is evolving. Automation ...
Harness Delivers on AI Promise for DevOps
Mike Vizard | | AI agents, cloud cost optimization, devops automation, DevOps Innovation, Harness AI, knowledge graph, pipelines, sdlc, software delivery, testing automationHarness launches an AI-powered DevOps platform that uses knowledge graph–driven agents to automate pipelines, testing and operations across the software delivery lifecycle ...
Enterprise AI Development Gets a Major Upgrade: Claude Code Now Bundled with Team and Enterprise Plans
Enterprise development teams have faced an impossible choice: move fast with cutting-edge AI coding tools or maintain the security and governance standards their organizations demand. Today, that tradeoff no longer exists. Anthropic ...
HoundDog.ai Code Scanner Shifts Data Privacy Responsibility Left
HoundDog.ai today made generally available a namesake static code scanner that enables security and privacy teams to enforce guardrails on sensitive data embedded in large language model (LLM) prompts or exposed artificial ...
Context Engineering is the Key to Unlocking AI Agents in DevOps
Harshil Shah | | AI agents, AI coding tools, AI developer tools, AI IDEs, AI in DevOps, AI software development, AI workflows, AI-Driven DevOps, AI-powered development, context engineering, context provisioning, devops automation, intelligent agents, MCP protocol, SDLC AIAI agents can code, test, and deploy—but only with the right context. Learn how context engineering unlocks DevOps-ready AI for the full SDLC ...
Microsoft Morphs Fusion Developers To Full Stack Builders
Adrian Bridgwater | | agentic AI in development, AI-assisted coding, business domain experts in software, citizen developers, full stack development democratization, fusion development teams, fusion software development, low-code no-code platforms, Microsoft Power Platform, natural language programmingMicrosoft sees a new democratization of all users, now also being able to engage in the creation and modification of application functions ...
Keeping Humans in the Loop: Why Human Oversight Still Matters in an AI-Driven DevOps Future
Jenn Yarnold | | agentic AI, AI DevOps risks, AI in software delivery, AI oversight, CI/CD Automation, devops automation, DevOps guardrails, human-AI collaboration, human-in-the-loop, responsible AIAI agents can now generate, test, deploy, and monitor code — but removing humans from the loop is dangerous. Learn why oversight, guardrails, and collaboration are essential to the future of DevOps ...
Shadow: How AI Coding Agents are Transforming DevOps Workflows
Shadow is an open-source AI coding agent that automates code understanding, editing and repository management to streamline DevOps workflows ...
Sonar Surfaces Multiple Caveats When Relying on LLMs to Write Code
New SonarSource research shows LLMs like GPT-4o, Claude Sonnet 4, and Llama-3.2 produce highly functional yet risky code — with frequent high-severity vulnerabilities, hard-coded credentials, and messy “code smells” that raise long-term ...
Stack Overflow Survey Shows AI Adoption for Devs
We’re in a transition, not a rush: Developers are open to AI, but they’re also wise—and rightly cautious—about when and how they trust it, notes Alan. Read the full op-ed for more ...
