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The latest AI news, analysis and insights from DevOps.com.

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Anthropic Extends Claude Code Into Messaging Apps, Challenging OpenClaw’s Lead

Anthropic has debuted a new capability for its Claude Code platform, called Channels, that enables a number of key improvements. Notably, it allows users to communicate with the coding assistant through messaging platforms like Telegram and Discord. More important, Channels is continuously available, so it is closer to an active collaborator. Clearly, Anthropic’s release of […]

James Maguire · Mar 23, 2026
AI

From AI Code to Production: The Case for FeatureOps

As 80% of developers adopt AI coding tools, delivery stability is hitting a wall. Discover why “FeatureOps” and feature flagging are the critical runtime controls needed in 2026 to close the understanding gap and prevent catastrophic outages like those seen at Google and Cloudflare.

Alex Casalboni · Mar 23, 2026
AI

The SaaS Observability Era is Ending: Why BYOC Is the Future of Telemetry

The era of expensive, centralized SaaS observability is hitting a wall. Discover why the “architectural revolution” of Bring Your Own Cloud (BYOC) is the 2026 solution for Kubernetes and AI workloads, restoring data sovereignty, reducing egress costs, and putting telemetry back under engineering control.

Shahar Azulay · Mar 20, 2026
AI

Lineaje Adds Ability to Automatically Apply Governance Policies to AI Components

Lineaje this week unfurled a platform that automatically discovers the artificial intelligence components of an application, defines security and governance policies, and then autonomously generates guardrails. At the core of the Lineaje UnifAI platform are a set of artificial intelligence (AI) capabilities that are integrated with an orchestration framework for applying governance policies that has […]

Mike Vizard · Mar 19, 2026
AI

Checkmarx Adds Orchestration Framework to DevSecOps Platform

Checkmarx this week revamped its DevSecOps platform to include an orchestration framework for managing tasks assigned to artificial intelligence (AI) agents. Additionally, the company has added two additional artificial intelligence (AI) agents trained to triage vulnerabilities and remediate them using code it generates for review while at the same time adding an ability to discover […]

Mike Vizard · Mar 19, 2026
AI

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 […]

Mike Vizard · Mar 18, 2026
AI

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 […]

Mike Vizard · Mar 17, 2026
AI

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 […]

Mike Vizard · Mar 17, 2026
AI

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.

Alan Shimel · Mar 16, 2026
AI

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 […]

Mike Vizard · Mar 13, 2026
AI

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.

Ilkka Turunen · Mar 13, 2026
AI

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.

Alan Shimel · Mar 12, 2026
AI

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 […]

Steven J. Vaughan-Nichols · Mar 11, 2026
AI

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.

Alan Shimel · Mar 11, 2026
AI

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 […]

Mike Vizard · Mar 10, 2026
AI

Codenotary Previews AI Platform to Autonomously Detect and Remediate IT Issues

Codenotary is previewing a software-as–a-service (SaaS) platform that enables artificial intelligence (AI) agents it has developed to autonomously detect, prioritize, and fix security, configuration, and performance issues. Company CEO Moshe Bar said the Codenotary Trust platform also enables continuous vulnerability tracking at both the Linux operating system and application level. Once an issue is detected, […]

Mike Vizard · Mar 4, 2026
AI

Sonar Unfurls Framework for Managing DevOps Workflows in the Age of AI

Sonar this week launched an Agent Centric Development Cycle (AC/DC) framework that promises to modernize continuous integration (CI) in the age of artificial intelligence (AI) coding. Announced at an online Sonar Summit, the AC/DC framework incorporates multiple tools and platforms the company has developed to better secure software supply chains, including now in beta Sonar […]

Mike Vizard · Mar 4, 2026