Why More AI-Generated Tests Don’t Mean Better Testing
Every demo from an AI testing tool vendor ends with a promise to cut test design effort from hours to minutes. Surprisingly, one important question is missing from these conversations: How many of those test cases can QA teams truly trust when testing a business-critical workflow such as payments? The AI Testing Efficiency Trap Many […]
From Reactive to Predictive: How AI and Automation Are Advancing Real-Time DevOps Decision-Making
AIOps helps DevOps teams cut alert fatigue, predict failures and improve incident response through AI-powered insights and smarter automation.
Design and Specifications Are Not What Is in Your Infrastructure
Cyber Asset Intelligence helps CTOs uncover hidden dependencies, reduce technical debt and make smarter architecture decisions with runtime visibility.
OffSec Launches Free PHP2Shell Lab Following Critical Vulnerability Discovery
New York, United States, 28th October 2026, CyberNewswire
The Rise of Playwright: Why Browser Automation Had to Change
Playwright is transforming browser automation for modern CI/CD, but AI-generated tests raise new questions about reliability and trust.
The DevOps Standard Finally Defines DevOps
Marc Hornbeek and Markus Bause join Alan Shimel to discuss The DevOps Standard, a shared operating model and how community feedback can keep its guidance relevant.
Report: Claude Code Exceeds GitHub Copilot for Merging Pull Requests
An analysis of pull requests published today by Jellyfish, a provider of an engineering intelligence platform, finds that Claude Code is the artificial intelligence (AI) coding tool used most often to merge pull requests (31%), followed by GitHub Copilot at 23%. Based on analysis of 100 million pull requests made in September by 276,000 developers […]
One Build, Ten Locales: How We Bake Translations at Compile Time Instead of Resolving Them at Runtime
For applications supporting multiple languages, localization architecture can dramatically affect build times, bundle sizes and caching. This technical deep dive explores why one development team chose a custom webpack plugin to compile once, inline translations and generate locale-specific bundles without runtime translation overhead.
Reddit’s r/opensource AI Ban Targets the Wrong Problem
Reddit’s largest open-source community is cracking down on AI-generated projects, prompting criticism over sweeping restrictions that could exclude legitimate developers. As Linux takes a different approach, DevOps teams face a more important question: How can they enforce code quality and accountability without banning the tools developers use?
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 […]
Stop Overlapping Cron Jobs With a File Lock
At 10:00, a report job starts rebuilding a shared working directory. At 10:05, its next scheduled run begins. The first process is still uploading. Now two processes can delete, replace or publish each other’s files. Moving the schedule to every 10 minutes buys time. It does not establish who may enter that directory. For a […]
Running Experiments on a Busy Backend Without Taxing a Single Request
Once a product reaches a certain scale, A/B testing and cohort targeting stop being a nice-to-have. There are plenty of good commercial platforms for this, but at scale they push you into a trade-off: Pay a big vendor bill, or send your customers’ data to a third-party API just to figure out which button someone […]
Recursive Flint Puts a Fast Agentic Coding Model on Developers’ Laptops
Recursive has unveiled Flint, a 40-billion-parameter, open-weight coding model designed to run locally on developer hardware. Built with help from the company’s Eureka Machine research system, Flint promises faster inference, greater source-code privacy and freedom from per-token API fees. For DevOps teams, the launch raises fresh questions about AI agent governance, code quality and continuous model evaluation.
Report: AI Agents Increase Observability Costs
Cisco has released its Splunk State of Observability 2026 report, revealing that companies face growing costs and operational challenges as they deploy AI agents without sufficient monitoring capabilities. The report found that 57% of organizations spend more on telemetry, the data used to monitor IT systems, than on the infrastructure being monitored. Additionally, 55% of […]
When 200 OK Isn’t OK: Observability for LLM Systems
Traditional monitoring can show an LLM-powered application as healthy even when it delivers incorrect answers. Drawing on experience at Varo Bank, this article explains why AI observability must go beyond the four golden signals and how automated evaluation, groundedness checks and CI pipelines can catch silent failures before they reach customers.
The Automation Confidence Gap: When Should AI Be Allowed to Change Production?
AI-generated infrastructure recommendations can look convincing, but production execution requires more than a plausible runbook. A seven-factor confidence index helps platform teams determine when AI should recommend, seek approval or execute changes within strictly enforced boundaries.
Linux Foundation: AI Speeds Development, but Low-Quality Code Strains Maintainers
A new Linux Foundation study finds that generative AI is delivering big productivity gains for open source software developers, but AI is also creating an influx of low-quality code submissions that need time-consuming human review. The research found that an estimated 25% of incoming pull requests, which are proposed changes to software projects, are considered […]
Manual Effort and Maintenance Debt: The Push Toward Autonomy in Software Testing
AI-assisted development is increasing the volume and pace of software change, but testing teams still devote substantial capacity to manual work and maintaining the automation they already have. The next stage of testing modernization depends not just on generating more tests, but on building automation that remains reliable as applications change. Techstrong polled 137 practitioners […]
DBmaestro Introduces DBmaestro’s Compliance Center, Extending Enterprise Database DevOps with Continuous Regulatory Readiness
The new platform capability, powered by Regulatory Intelligence, continuously assesses enterprise database delivery against leading regulatory frameworks, providing actionable readiness insights, control-level gap analysis, and guided remediation. ORLANDO, Florida – October 20th, 2026: DBmaestro, the leading Enterprise Database DevOps platform, today announced DBmaestro’s Compliance Center, a major new platform capability powered by Regulatory Intelligence that […]
What Comes After the Pull Request?
We’ve spent plenty of time figuring out how to fit agents into the existing software development lifecycle. But the pull request was designed for humans to coordinate with other humans. If agents can generate, review, and validate changes continuously as they work, why do we need a separate interaction point at all? I’m not convinced […]
How Dependency Mocking Affects CI/CD Pipeline Reliability
Stale dependency mocks can make CI/CD pipelines pass while production integrations fail. Learn how mock drift undermines reliability and how to prevent it.
When the Agent is the Incident
When AI remediation agents make the wrong infrastructure decisions, automated fixes can quickly escalate into major incidents. This seven-step incident response playbook explains how to stop unsafe agent actions, block tool access, preserve forensic evidence and restore services without triggering further damage. A Kubernetes simulation demonstrates why stopping an agent worker alone is not enough.
OpenAI Puts COBOL Migration to the Test, and Its Newest Models Mostly Pass
OpenAI’s latest coding benchmarks show substantial improvements in handling COBOL, Fortran and other low-resource languages. But for DevOps teams modernizing legacy applications, translating code is only half the challenge. The real test is preserving business logic, arithmetic precision and production behavior.