AI
Microsoft Open-Sources RAMPART and Clarity to Bring Agent Safety Into the Dev Workflow
Microsoft open-sources RAMPART and Clarity to help dev teams embed AI agent safety testing directly into CI pipelines and design workflows ...
CloudBees Survey Surfaces Increase in Production Issues Attributable to AI
A survey of 213 IT leaders, conducted by CloudBees, finds that while 93% report they are seeing productivity gains that are driven by increased adoption of artificial intelligence (AI) tools, a full ...
The Automation Layer Wants to Own Enterprise AI
Alan Shimel | | AI agents, Automation Layer, Enterprise AI, Infrastructure Governance, Operational Trust, platform engineering, Probabilistic Systems, runtime securityOrganizations want AI systems capable of prioritizing alerts, routing workflows, coordinating across applications, initiating remediation steps, summarizing operational data and adapting dynamically based on changing context. The system is no longer following ...
1Password Allies With OpenAI to Secure Codex AI Coding Tool
Mike Vizard | | AI coding tools, credential security, devsecops, just-in-time credentials, MCP Server, Model Context Protocol, secrets management, Software Supply ChainDevSecOps teams can now manage coding agents as a tenant rather than another vault where secrets might be stored, ensuring credentials are never exposed to an AI agent or LLM as plain ...
We Spent 15 Years Automating Infrastructure. Now We’re Automating Decisions
Alan Shimel | | AI copilots, AI in operations, AIOps, Autonomous operational systems, cloud-native architecture, Deterministic vs probabilistic automation, devops evolution, gitops, IaC, Incident response AI, infrastructure as code, infrastructure automation, Operational judgment, Operational sovereignty, Platform engineering governance, Risk mitigation in AI, telemetry correlationAs DevOps shifts from deterministic infrastructure automation to AI-driven probabilistic judgment, organizations face a profound transition from automating tasks to automating operational reasoning. Discover why this requires a fundamental evolution in platform ...
Cursor’s Composer 2.5 Brings Smarter, More Reliable AI Coding Agents
AI-assisted coding tools are getting a meaningful upgrade. Cursor has released Composer 2.5, the latest version of its proprietary coding agent model, and the improvements go well beyond a version bump. Composer ...
GitHub Copilot Gets Its Own App — and It’s More Than a Coding Assistant
Tom Smith | | Agent Merge, agentic development, AI coding assistant, CI/CD, developer tools, devops automation, GitHub Copilot, software development lifecycleGitHub has launched a standalone Copilot desktop app in technical preview, moving beyond the IDE to introduce a dedicated cockpit for agentic development. The app enables developers to manage parallel, isolated agent ...
Microsoft Copilot Studio Brings Computer-Using Agents to the Enterprise
For years, IT and DevOps teams have wrestled with the same stubborn problem: how do you automate workflows in systems that were never built for automation? Legacy apps, vendor portals, and proprietary ...
GitLab Act 2: Still an Open Book
Alan Shimel | | AI agents, Bill Staples, business transformation, corporate culture, devops, gitlab, software development, tech layoffs, transparencyAn analysis of GitLab’s "Act 2" transition under CEO Bill Staples, examining whether the company can successfully pivot to an AI-native, agentic software delivery model while dismantling the radically transparent, remote-first culture ...
xAI Enters the Coding Agent Race With Grok Build
Tom Smith | | AI developer workflow, Anthropic Claude Code, Arena Mode, coding agent, devops tools, grok-code-fast-1, local-first code, multi-agent architecture, xAI Grok BuildElon Musk's xAI has entered the developer workspace with Grok Build, a local-first coding agent featuring an automated "Arena Mode" that runs and ranks parallel AI outputs to rival Anthropic and OpenAI ...
AI in Production Has a Governance Problem — ISO/IEC 42001 is Starting to Solve It
Moving fast without losing control is the core promise of DevOps. Extending this discipline to AI is the next logical step, supported by existing frameworks. ...
