API keys got you here. They won’t get you where you’re going. OAuth isn’t a future upgrade. It’s the foundation your agents should have been built on from the start.

This article examines how a Carbon-Aware DevOps strategy can help optimize CI/CD pipelines for sustainability by reducing their carbon footprint while also decreasing costs and meeting the increasing demand for innovative, eco-friendly solutions.

At Transcend 2026, GitLab launched updates to optimize its DevOps platform for AI-generated code, featuring Next Gen Source Code Management, GitLab Orbit, and an AI Governance framework.

New Black Duck survey reveals AI coding tools boost developer productivity but create critical bottlenecks in manual reviews, code rework, and security vulnerabilities.

AI accelerated code delivery, but the bigger change is in who's building software, how much is being built and what it takes to trust it.

Cloudflare this week acquired VoidZero, the maintainer of open source tools such as Vite, Vitest, Rolldown, Oxc, and Vite+ that are used widely to build web application frameworks. Rita Kozlov, vice president of product management for Cloudflare, said this acquisition will ensure the financial stability of a set of open source tools that play a […]

The software development tools you choose shape your CI/CD pipeline reliability in ways that only surface months later. Learn what to evaluate before adoption.

Not every infrastructure pull request deserves the same review path. A tag change in a development account and a network-policy change in production should not create identical reviewer load. When every change is treated as high risk, reviewers stop trusting the signal. In IaC review, I have seen reviewers spend too much attention on low-risk changes […]

Allstacks this week added a shared workspace capability to its software engineering intelligence platform that makes it simpler for product and software engineering teams to create specifications for artificial intelligence (AI) agents that organizations plan to develop and deploy. Product Studio provides teams with a place to plan, draft, and refine product requirements using the […]

Agentic observability isn’t about removing engineers from the loop. It is about making the loop faster, better informed, and easier to operate at the scale modern systems require.

GitHub debuts the Copilot app at Microsoft Build 2026 — an agent-native desktop experience for managing parallel AI agents, canvases, sandboxes, and code review.

Tricentis survey reveals 68% of orgs use AI in software delivery, but 60% admit to shipping untested code, leading to massive financial and security risks.

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 […]

xAI's Grok Build 0.1 is now available in public beta via the xAI API — a fast, purpose-built coding model for agentic workflows, debugging, and MCP support.

Anthropic's Claude Code dynamic workflows run parallel subagents to tackle codebase-wide audits, large migrations, and complex engineering tasks end-to-end.

Claude Code Security uses AI reasoning to catch complex vulnerabilities in code — including logic flaws that traditional static analysis tools consistently miss.

If your team can answer the question “Did the system do the right thing?” and not just “Did the system stay up?”, you’re getting close to real observability.

Agentic SRE is the evolution of site reliability engineering where AI agents help observe systems, reason over telemetry and take bounded operational actions under human-defined guardrails.

Harness today added two tools to track and analyze the impact code generated by artificial intelligence (AI) coding tools is having on application development. An AI Development Lifecycle (DLC) tool installs agent software on a developer’s machine to track adoption, sessions, and the code created across every coding agent, while a Cloud & AI Cost […]

The emergence of agent skills — modular, reusable blocks of natural language instructions and metadata — is transforming the developer’s role.

By establishing a robust DevOps foundation now, organizations can leverage these emerging predictive capabilities to transform reactive pipelines into proactive, self-correcting release architectures.

Alert fatigue among Site Reliability Engineering (SRE) teams has reached a breaking point, with responders drowning in thousands of weekly notifications where only 3% genuinely warrant attention. This massive volume of noise—driven by fragmented monitoring tools and rigid, threshold-based alerting—stifles innovation, spikes on-call burnout, and compromises system reliability. Fortunately,…

The era of the flaky test as a simple annoyance is over. As enterprises shift from deterministic applications to agentic AI, flakiness has evolved into a structural bottleneck for traditional CI/CD pipelines reliant on rigid, binary assertions. Because AI agents produce "Y-like" rather than exact results, DevOps architecture must fundamentally change. This article explores the transition from…

Modern distributed hybrid enterprise environments are moving away from siloed monitoring toward AIOps platforms like Selector AI, which combine multi-domain data ingestion, domain-specific network language models, and co-development to enable autonomous, agentic network operations.

By embedding AI-powered guardrails directly into CI/CD pipelines, organizations can detect vulnerabilities earlier, enforce security policies automatically and accelerate secure software delivery.

This is where smart KYC enforcement layers fit in — not a compliance box, but an engineering control that is directly part of DevOps processes.

In 2026 and beyond, AI will not just change how software is developed, but change the very fundamentals of how people work.

Low-code and no-code platforms like Microsoft Power Platform are reshaping enterprise DevOps. When combined with cloud architecture, DevOps discipline, and AI-driven assistance, they enable organizations to deliver solutions faster without sacrificing control.

DevOps practices have fundamentally changed how software is delivered, operated, and improved. At their heart, DevOps methodologies seek to unify development and operations, enabling teams to ship changes more quickly while maintaining system reliability. The discipline has grown beyond simple CI/CD automation to encompass culture, observability, and intelligent workflows. As organizations scale,…

When teams know which tools are acceptable and which data are off-limits, AI becomes a disciplined advantage rather than a quiet source of risk.