CI/CD
Modernization Is Not Migration
Modernization worked only if the platform became easier to change, easier to understand and safer to run under pressure. That is not a philosophical position — it is a measurable one ...
Security Flaw in Claude Code Illustrates the Risk of AI in Developer Workflows
Jeff Burt | | agentic AI in development, Anthropic Claude Code, bash, CI/CD and AI agents, exposed secrets, GitHub Actions, microsoft, prompt injectionAI coding agents are reshaping software development—but they’re also expanding the attack surface. Researchers uncovered a now-patched vulnerability in Anthropic’s Claude Code GitHub Action that could have enabled prompt injection attacks to ...
The Silent Risk of AI-Written DevOps Pipelines
Sannan Ali | | AI-generated DevOps pipelines, CI/CD, devsecops, pipeline security, Software Supply ChainThese days, when a developer needs a CI/CD pipeline, they don’t always dive into GitHub Actions docs or spin up Jenkins from scratch. Instead, they pull up an AI assistant and type ...
Regression Testing Tools in the Age of AI-Assisted Development: What Has Changed
Sophie Lane | | AI-assisted development, devsecops, regression testing tools, software testing, test automationFor most of the past decade, the conversation around regression testing tools was fairly stable. The tools got faster, the integrations got smoother, and the underlying approach stayed largely the same: write ...
AI Agents in CI/CD Pipelines: Speed vs Control in Modern DevOps
The moment you push your code, deployment fires off on its own. The pipeline kicks in, the tests sail through, and within a few minutes your app is live in production. There ...
The Great Decoupling: Scaling the Outer Loop for the Agentic Era
Nassir Khan | | AI coding agents, AI-SDLC, compliance automation, devsecops, software development lifecycleThe "Inner Loop" of software development—the iterative cycle of writing, building, and debugging code—has just broken the sound barrier. With the emergence of agentic coding tools like Claude Code and GitHub Copilot ...
AI Agents in DevOps: Hype vs. Reality in Production Pipelines
The demos look super cool! An AI agent detects a failing deployment, rolls it back, opens a GitHub issue, and notifies Slack — all before the on-call engineer has finished reading the ...
Agentic CI/CD is Not Automation: Why the Distinction Will Define DevOps in 2026
Muhammad Yawar Malik | | agentic AI, AI in DevOps, automation vs ai, CI/CD pipelines, DevOps governanceThere is a dangerous conflation happening across our industry right now. Teams are plugging LLM-powered agents into their deployment pipelines, calling it "agentic CI/CD," and treating it as the next logical step ...
Is Your AI Agent Secure? The DevOps Case for Adversarial QA Testing
Adversarial QA testing helps validate AI agents under real-world conditions, exposing risks like prompt injection and logic failures ...
Akuity Adds Ability to Customize Kargo Pipelines
Akuity this week at the KubeCon + CloudNativeCon Europe conference revealed it has added an ability to customize the steps used to promote applications into a production environment using a Kargo orchestration ...
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 ...
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, ...
