GitHub Copilot Bills Hit $800: Visual Studio’s June Update Adds Real-Time Usage Alerts and MCP Trust Checks
Visual Studio’s June update adds real-time Copilot usage alerts and MCP server trust checks, responding to billing and agent security concerns.
North Korea Expands the Reach of PolinRider Supply Chain Attack Campaign
The North Korean-sponsored threat groups behind the long-running fake interview scams targeting developers are expanding the PolinRider supply chain campaign that has escalated over the past several months. Reports from cybersecurity vendors Socket and Rescana found that two groups linked to the Democratic People’s Republic of Korea (DPRK) have published at least 108 malicious packages […]
Block Details Builderbot Framework for Orchestrating AI Agents Across SDLC
The software engineers at Block have developed an orchestration layer they are using to manage artificial intelligence (AI) agents that have been trained to automate multiple tasks across their software development lifecycle (SDLC). Based on goose, an open source agent framework the company developed and contributed to the Agentic AI Foundation (AAIF), the Builderbot orchestration […]
How Independent Service Deployments Expose the Limits of Conventional Regression Testing Tools
The architectural shift to independently deployable services was supposed to make software delivery faster and less risky. In many aspects, it has. Teams can ship a change to one service without coordinating a release across the entire system. A bug fix in the payment service does not require a synchronized deployment with the notification service, […]
A Beginner’s Guide to CI/CD and CI/CD Pipelines
Modern software development moves at a pace that would have been unthinkable a decade ago. Organizations push updates on demand, respond to vulnerabilities within minutes, and integrate new features at a relentless pace. This acceleration is driven by continuous integration and continuous delivery (CI/CD). To understand how CI/CD reshapes the security posture of modern organizations, […]
Beyond Automation: Building Accountability for AI Agents
The conversation around AI agents has evolved remarkably quickly. Not long ago, most organisations were still experimenting with prototypes and controlled use cases, trying to understand where these systems might fit within existing operations. Today, that conversation has changed. Agents are increasingly being deployed into production environments where they can write code, interact with customers, […]
The Next DevOps Bottleneck: When AI Generates More Software Than Organizations Can Manage
The organizations that benefit most from AI will probably not be the ones generating the largest amount of code. They will be the ones who build systems capable of managing software at scale.
Most Outages Don’t Announce Themselves
Many outages never announce themselves as outages. They show up as rising latency or an error rate that creeps from 2% to 4% over an afternoon while everyone’s busy with something else.
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 […]
Insignary Closes SBOM Accuracy Gap With Binary-Level Clarity for Regulatory Risk
Toronto, Canada, 6th July 2026, CyberNewswire
Mistral Releases Leanstral 1.5, an Open Model That Solved 587 of 672 Putnam Math Problems
Mistral’s open Leanstral 1.5 model solved 587 of 672 Putnam math problems and is already finding real bugs in open-source code.
When AI Agents Get Production Access: The Next Big DevOps Risk
It wasn’t that long ago that AI assistants just watched from the sidelines. They could answer your questions, explain how things worked, sum up logs, and write deployment scripts. Handy, sure, but the real decisions? Still up to the engineers. That’s changing now. AI agents are stepping right into the heartbeat of operations. They can […]
Z.ai Debuts ZCode to Compete With GitHub Copilot, Cursor and Anthropic
Chinese AI developer Z.ai has introduced ZCode, a desktop application that automates software development tasks, positioning the platform to compete with established coding platforms from Anthropic, GitHub and Cursor. The company built ZCode, which it calls an Agentic Development Environment, around its recently released GLM-5.2 LLM. Rather than functioning as a traditional coding assistant that […]
Lightrun Adds Ability to Assess Impact Pull Request Will Have in Production
Lightrun is providing early access to an ability to verify whether a pull request (PR) will actually run in a production environment as part of its artificial intelligence (AI) platform for automating site reliability engineering (SRE) workflows. Company CTO Leonid Blouvshtein said the Runtime Aware PR Verifier enables DevOps teams to assess the impact a […]
Platform Engineering vs. DevOps: Why This Is the Wrong Question
DevOps has done what it was supposed to do. It broke down the wall between development and operations, it made continuous delivery a normal expectation, it made shared ownership of production a cultural default, and it moved software delivery from a scheduled event to a continuous flow. The results reshaped how modern software gets built. […]
Ornith Models Automate Agentic Coding With Self-Scaffolding
Ornith, a new family of open source LLM models from the DeepReinforce research collective, takes a novel approach to executing coding and debugging tasks: It generates an architectural framework to give the user’s harness a structured instruction set – a scaffold – to create an agent to complete the job. Available in a set of […]
OpenAI Expands Into Developer Hardware With Codex Micro Keyboard
OpenAI is preparing to launch its first branded hardware product, but rather than entering the crowded consumer device market, the company is starting with a tool designed specifically for software developers. The company has scheduled a July 15 unveiling for Codex Micro, a compact input device created in partnership with keyboard manufacturer Work Louder. OpenAI […]
Harness Adds Autonomous AI Agents to Automate DevOps Workflows
Harness today is providing DevOps teams with an ability to build and deploy autonomous artificial intelligence (AI) agents that automate the delivery of code to production environments. Trevor Stuart, a senior vice president and general manager at Harness, said the Autonomous Worker Agents eliminate the need for fixed scripts with custom AI agents or ones […]
AI Coding Costs Could Exceed Developer Salaries, Gartner Warns
Enterprises rapidly adopting AI coding assistants may eventually face an unexpected financial reality: the AI tools could cost more than the developers using them. According to new research from Gartner, spending on AI coding agents is on track to surpass the average software developer’s salary by 2028, driven by the rapid growth of LLM token […]
Survey: More AI Code Running in Production Environments with Caveats
A global survey of 309 software engineering leaders, published today, finds 81% of organizations have to some degree reworked development and release processes to accommodate code generated using artificial intelligence (AI) coding tools. However, only 45% said their organization is running any of that code in production environments. Conducted by Dimensional Research on behalf of […]
The DevOps Practice Most Teams Skip When Adopting AI Agents
Code generation got fast. The competitive advantage is now in the Second and Third Ways. If you don’t have instruction files in your repo, start there. If you do, monitor how often they’re updated.
How to Automate API Testing in CI/CD Pipelines
Automating API tests and plugging them directly into your CI/CD pipeline is no longer a complex undertaking reserved for large engineering teams.
Your AI Testing Framework Might Be Passing Tests It Should Be Failing
Engineering teams are not evaluating whether AI belongs in their testing workflows anymore, but are discovering, sometimes painfully, that the architectural decisions they made when integrating it are the ones that will determine whether it improves their release confidence or quietly erodes it.