Komodor Extends Reach of AI SRE Orchestration Framework
Komodor today extended the reach of its orchestration framework for artificial intelligence (AI) agents by adding support for Model Context Protocol (MCP) servers and the OpenAPI specification. Company CTO Itiel Shwartz said those capabilities will make it possible for IT teams to more broadly orchestrate AI agents that are being used to investigate and remediate […]
Policy as Code for Cost Control, Not Just Compliance
Policy as code can do more than enforce compliance. Learn how platform teams use guardrails, tagging and sizing policies to prevent cloud cost waste early.
Harness Extends AI Security Reach Across Entire DevOps Workflow
Harness today added an ability to automatically secure code as it is being written by an artificial intelligence (AI) coding tool in addition to adding a module to its DevOps platform that discovers, tests, and protects AI components within applications. Secure AI Coding is an extension of the static application security testing (SAST) and software […]
Sauce Labs Makes AI Agent for Creating and Running Tests Available
Sauce Labs today made generally available an artificial intelligence (AI) agent that translates a natural language intent into a set of executable test suites that can run anywhere. Company CEO Dr. Prince Kohli said the Sauce AI for Test Authoring agent closes a gap that has emerged between the rate at which code is being […]
Java 26 Arrives With AI Integration and a New Ecosystem Portfolio — What It Means for DevOps Teams
Overview of Java 26 emphasizing performance, concurrency, security, HTTP/3, and the new Java Verified Portfolio—positioning the JVM as a supported infrastructure layer for enterprise AI workloads and easing DevOps modernization of large Java estates.
When Code Becomes Cheap, Engineering Becomes Governance
AI agents can now generate in minutes what once took teams weeks, but the real shift is not faster coding. It is the collapse of code scarcity. As software production becomes industrialized, the job of engineers is moving from writing lines to governing systems, managing risk and deciding what should exist in the first place.
Gemini CLI Plan Mode Separates Thinking From Doing — and Makes Read-Only the Default
Google’s Gemini CLI Plan Mode enforces read-only research-first workflows—using higher-reasoning models for strategy, ask_user prompts for clarification, and read-only MCP integration—so agents propose vetted implementation plans before code changes
The Green Side of Observability: Why Less Data Can Mean More Insight
Observability can generate massive data volumes. Learn how sustainable observability reduces telemetry waste, lowers costs and improves insight.
Five Great DevOps Job Opportunities
Weekly DevOps jobs roundup, this week highlighting top roles in Massachusetts, New Jersey, Chicago, Charlotte and Seattle, with pay ranges and hiring trends to help DevOps pros advance careers.
Survey: AI Coding Exacerbates Existing DevOps Workflow Issues
A global survey of 700 software engineering practices published this week finds that thanks to increased reliance on artificial intelligence (AI) coding tools, well over a third (35%) are either achieving daily or more frequent product deployments, with 36% deploying software multiple times per week. However, more than half (51%) also noted AI-generated code leads […]
Low-Code’s New Frontier: Tailored Solutions for Each Industry
For years, most low-code platforms have focused on one primary challenge: efficiency. The goal was to help teams build applications faster and with less effort, reducing manual coding, speeding up iterations, empowering non-developers, and enabling apps to be created in just a few clicks. That focus delivered real value, but it’s no longer enough. Today, […]
The Risk Profile of AI-Driven Development
Analysis arguing that AI-driven code generation accelerates dependency decisions and expands supply-chain risk, requiring shift-left governance, prompt-level controls, automated SBOM/AIBOM visibility, threat-modeling as engineering, and autonomous security to match autonomous development.
How eBPF and OpenTelemetry Have Simplified the Observability Function
Overview arguing that OpenTelemetry eBPF Instrumentation (OBI) — combined with OpenTelemetry Injector — removes barriers to full observability by enabling zero-code, kernel-level telemetry for Kubernetes and Linux environments, solving language, legacy, and security challenges.
Sorry, Charlie, StarKist Wants AI With Good Taste
A surprising AI experiment showed that feeding a model sloppy code didn’t just produce bad programming, it produced bad behavior. The result points to something philosophers and DevOps engineers have long understood: Character, culture and incentives shape systems far more than rules alone.
Zero Downtime Multicloud Migrations for Observability Control Planes
Most platform teams aren’t deciding whether they’ll run across multiple clouds. They already are, or they’ll be soon. The real question is how to migrate critical systems without turning on-call into a guessing game. Observability raises the stakes more than almost any other domain. An observability control plane isn’t just a dashboard. It’s the operational […]
JetBrains Launches Air and Junie CLI to Blend Traditional IDE with AI Agents
JetBrains has launched a new “agentic” tooling stack that pairs a multi‑agent development environment, Air, with a standalone, LLM‑agnostic coding agent, Junie CLI. If you know JetBrains, you probably know it for Kotlin, the statically typed Java Virtual Machine (JVM) language used mostly for Android development, or for its well-known integrated development environments (IDEs), such […]
The Observability Bill is Coming Due – and AI Wrote Most of It
Observability has always had a data quality problem. AI coding agents just made it catastrophically worse. Shimmy sits down with the co-founders of Sawmills to dig into why unmanaged telemetry is the unglamorous DevOps crisis that is quietly killing budgets — and what an agentic telemetry management platform actually does about it.
Gemini Code Assist Gets Agent Auto-Approve, Inline Diffs, and Custom Commands to Speed Up the Core Coding Loop
Google’s latest Gemini Code Assist updates focus on workflow, not hype: Agent Mode with Auto Approve, inline diffs, a Context Drawer, custom commands, Finish Changes, and Outlines streamline how developers review, trust, and integrate AI-generated code in VS Code and IntelliJ.
Microsoft Azure Skills Plugin Gives AI Coding Agents a Playbook for Cloud Deployment
Microsoft’s new Azure Skills Plugin closes the gap between AI-written code and production deployments by packaging expert Azure knowledge as executable skills, backed by MCP servers for real infrastructure actions and AI workflows—bringing guardrails, consistency, and speed to DevOps and platform teams.
Anthropic Code Review Dispatches Agent Teams to Catch the Bugs That Skim Reads Miss
Anthropic Code Review dispatches agent teams to find bugs in PRs. Multi-agent analysis, severity ranking, and inline fixes for Teams and Enterprise.
Report: Lower Performing Software Engineering Teams Benefit More from AI
An analysis of 2,000 organizations worldwide finds that historically lower performing software engineering teams are seeing nearly a 50% improvement in lead time to delivery, a four times greater rate of improvement over higher performing teams that have adopted AI coding tools. Conducted by Plandek, a provider of a developer productivity intelligence platform, the report […]
VS Code Is Becoming an Agent Control Plane — and Most Teams Haven’t Noticed Yet
VS Code 1.110 ships agent plugins, hooks, and persistent memory. Microsoft is embedding control plane primitives into the IDE for AI agent governance.
GitHub Copilot Coding Agent for Jira Connects Planning to Pull Requests Without Leaving Your Workflow
GitHub Copilot, the coding agent, now integrates with Jira. Assign issues to Copilot and get draft PRs — no context switching between planning and code.