News and Tech Update

The “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 Workspace, the developer experience has undergone a fundamental shift. Developers are no longer merely tab-completing snippets; they are orchestrating agents that generate entire features, refactor monolithic modules, and manage complex terminal commands in real-time. However, this unprecedented acceleration has exposed a critical structural flaw: the “Outer Loop” of the traditional Software Development Life Cycle (SDLC) is anchored in legacy speeds. While the Inner Loop now operates at the speed of thought, the Outer Loop—comprising manual PR reviews, security scans, and compliance audits—is still stuck in a pre-agentic mindset. This creates a massive bottleneck in the delivery pipeline, where AI can generate a thousand lines of code in seconds, bu...

For the past year or so, AI coding agents have been tethered to your local machine. You kick off a task, watch the terminal, and babysit every step. It works — but it’s not exactly hands-free. Mistral just changed that. On April 29, the Paris-based AI company announced remote coding agents for its Vibe platform, powered by a new model called Mistral Medium 3.5. The idea is simple: Instead of running coding sessions on your laptop, they now run in the cloud — asynchronously, in parallel, and without you watching over them. What’s Actually New Coding sessions can now work through long tasks while you’re away. Many can run in parallel, and you no longer become the bottleneck at every step the agent takes. That’s the core pitch. You start a task from the Mistral Vibe CLI or directly from Le Chat — Mistral’s AI assistant — and the agent handles the rest. When it’s done, it opens a pull request on GitHub and notifies you, so you review the result inste...

IREN Ltd, a provider of cloud infrastructure services, today revealed its intent to acquire Mirantis , a provider of open source OpenStack and Kubernetes software that is deployed in both cloud computing and on-premises IT environments. Under terms of the agreement valued at $625 million, Mirantis will operate as an independent subsidiary of IREN, a former provider of bitcoin mining services that now specializes in hosting artificial intelligence (AI) workloads. Dominic Wilde, senior vice president of marketing for Mirantis, said that while Mirantis will continue to engage with the more than 1,500 IT organizations it supports directly, the combined entity will reduce friction as IT teams move to deploy AI workloads that require deeper levels of infrastructure integration. That level of alignment will benefit IT organizations that are customers of both companies, he added. Privately held, Mirantis has long provided a distribution of OpenStack and more recently has been curating a dis...

Incredibuild this week developed a sandbox, dubbed Islo , that makes it possible to safely run artificial intelligence (AI) coding agents. Company CEO Shimon Hason said Islo provides an isolated execution environment that enables DevOps teams to limit access to sensitive data, codebases, resources and services. Each AI coding agent is then provided with its own dedicated, isolated environment that operates independently and can be centrally managed by a DevOps team. DevOps teams can deploy Islo independently of the Incredibuild platform or, alternatively, use the Incredibuild software development lifecycle (SDLC) management platform to apply policy controls, manage agent identities, enforce guardrails, enable observability, ensure performance and, most importantly, control costs, said Hason. Collectively, these capabilities provide the added benefit of also making it simpler to assign long-running tasks to an AI agent that can be governed and managed without an application develope...

AI coding tools have advanced rapidly, but most are still designed around the individual developer. Their effectiveness depends heavily on a user’s ability to write understandable prompts, preserve architectural coherence across sessions, and identify areas that require additional work. This model works for some engineers, but it is far less dependable for a large organization’s development team, where software must align with defined standards, delivery processes and governance requirements. Today, AI development systems that reduce reliance on individual judgment are coming to market. They bring embedded structure, constraints, and verification directly into the platform. For organizations, customer-facing products and portals, building custom, design-led, mission-critical applications, the question is no longer whether AI can generate code. The real question is what an AI coding platform must look like to enable repeatable, reliable delivery at AI speed. The Limits Of Prompt-Based...

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 available DevOps talent is still relatively constrained, so when one DevOps professional takes on a new role, it tends to create opportunities for others. The 10 job postings shared this week are selected based on the company looking to hire, the vertical industry segment and naturally, the pay scale being offered. We’re also committed to providing additional insights into the state of the DevOps job market. In the meantime, for your consideration. Dice Booz Allen Hamilton Arlington, VA DevOps Engineer $62,000 – $141,000 Marsh & McLennan Companies White Plains, NY DevOps Engineer $76,800 – $134,300 Vantor Melbourne, FL DevOps ...