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Contributed Content

Informing Stakeholders Isn’t the Same as Aligning Them

The first sign of trouble was a screenshot. We’d just switched on the A/B test via our feature management platform. Within the hour, a senior stakeholder landed in the variant feature flag, opened the app on their own phone, and sent us an image of it. The message, more or less: “Why is there a […]

Vladimir Pronin · Sep 1, 2026
Techstrong Council

From Operator to Agent Manager: The Real Shift in Network Engineering

I’ve been saying for ten years that network automation was three years away from being the only way to do things. Every year I moved the goalposts, because the data never caught up to the rhetoric. After a decade of scripts, YAML, Ansible, Terraform, and every NetDevOps framework we could throw at the problem, roughly […]

John Capobianco · Aug 31, 2026
Blogs

Ten Great DevOps Job Opportunities

DevOps.com is now providing a weekly DevOps jobs report through which opportunities for DevOps professionals will be highlighted as part of an effort to better serve our audience. Our goal in these challenging economic times is to make it just that much easier for DevOps professionals to advance their careers. Of course, the pool of […]

Mike Vizard · Aug 31, 2026
Blogs

Cybersecurity Researchers Uncover Flaw in Google AI Coding Tool

Cybersecurity researchers from Pillar Security this week revealed how a prompt injection inserted into a GitHub repository was used to gain Editor-level access to an internal Google Cloud project using a flaw in the command line interface (CLI) of an artificial intelligence (AI) coding tool that Google provides. Dan Lisichkin, a cybersecurity researcher for Pillar […]

Mike Vizard · Aug 28, 2026
Contributed Content

Certificate Renewal Is a Deployment Workflow, Not a Cron Job

Certificate renewal is often treated as a scheduled task: run an ACME client, obtain a new certificate, and move on. In practice, that view is too narrow for production systems. A certificate is not useful because it exists on disk. It is useful because the right service is presenting it to users. Between issuance and […]

Franz Alliod · Aug 28, 2026
Blogs

Sonar AI Agent Discovers Vulnerabilities Hidden in Business Logic Workflows

Sonar today made available an artificial intelligence (AI) agent designed to discover vulnerabilities and business logic flaws that pose the greatest risk to an organization should they be exploited. The SonarQube Hunter Agent first analyzes an entire codebase to find three categories of flaws: broken access control, business-logic vulnerabilities, and authentication or session-management issues. Satinder […]

Mike Vizard · Aug 27, 2026
Contributed Content

When AI Coding Agents Become Malware Delivery Systems

AI coding agents are becoming part of everyday development work. Developers use them to find libraries, configure projects, troubleshoot installation problems, and set up new tools. An agent can search GitHub, read project documentation, and run commands without the developer having to work through every step manually. That convenience is creating another security concern for […]

Samuel Ogbonna · Aug 27, 2026
Blogs

Harness Unfurls Source Code Repository Alternative to GitHub

Harness today launched a code repository service that is specifically designed for DevOps teams that are relying on artificial intelligence (AI) agents to generate code. Martin Reynolds, Field CTO for Harness, said the Agent-Ready Harness Code Repository and AI Code Review service provides an alternative to existing GitHub source code repositories that were not designed […]

Mike Vizard · Aug 27, 2026
Contributed Content

How to Build a Durable Change-Control Gate for AI Agents

AI agents that trigger real-world changes need more than confidence scores. A durable change-control gate should recheck policy, require approval for consequential actions, enforce idempotency and verify the result before retrying.

Daniel Martin · Aug 27, 2026
Contributed Content

Production Validation: The Missing Layer in Enterprise Releases

Production validation adds a critical business-control layer between testing and deployment, combining data checks, exception review, approvals, reconciliation and operational readiness before a release reaches production.

Kawaljeet Singh Chadha · Aug 27, 2026
Blogs

Tricentis Preps Wave of Additional AI Testing Capabilities

Tricentis is providing early access to multiple artificial intelligence (AI) capabilities that it is gearing up to roll out later this year via a Tricentis Transform initiative, including an autonomous AI agent, dubbed Aida, that explores web and Windows desktop applications to surface defects, weaknesses and other potential gaps without requiring DevSecOps teams to create […]

Mike Vizard · Aug 26, 2026
Contributed Content

The Missing Runtime for Long-Running AI Agents

Enterprise AI agents need more than stronger models. They need durable execution environments that can coordinate multi-step workflows, survive failures, pause for human review and resume reliably after disconnects or delays. AI Agents Have Moved Beyond Chat Demos AI agents work beautifully in demos. A user asks a question, a large language model generates a […]

Anuj Kapoor · Aug 26, 2026
Blogs

Your AI Coding Budget Is Becoming a Variable Cloud Bill

AI coding assistants are becoming a variable, usage-based engineering cost, forcing platform and DevOps teams to apply FinOps practices to models, credits, utilization and multi-vendor spend.

Carla Castillo · Aug 26, 2026
Techstrong Council

Is Java Enterprise Ready for AI? Absolutely

AI is transforming software engineering. For enterprise Java developers, the key question is whether Java and Jakarta EE are prepared to integrate AI into enterprise applications. The answer is yes. Java and Jakarta EE already support integration of Large Language Models (LLMs) and AI capabilities through existing APIs, libraries, and frameworks. Developers can continue using […]

Otavio Santana · Aug 25, 2026
Contributed Content

CI/CD for AI-Enabled Applications: Why Traditional Deployment Pipelines Need to Evolve

Traditional CI/CD pipelines are optimized around a familiar assumption: source code changes, automated tests validate the change, a build artifact is produced, and the application is promoted through environments. AI-enabled applications complicate that model because production behavior can change even when application code does not. A new model version, feature transformation, prompt configuration, retrieval index […]

Prem Kumar Gadhanki · Aug 25, 2026