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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Resolve's Agents of IT podcast - Ep. 11 - Sean and Ari's Hot Takes #itautomation #agenticai

Jan 28, 2026 By Resolve In Resolve
Agentic AI is moving fast, but expectations are moving faster. In this episode of Agents of IT, Resolve CCO Sean Heuer and Ari Stowe, Resolve COO, cut through the noise around agentic AI, AIOps, and automation in modern IT environments. They react to recent articles from Forbes, TechCrunch, and others to unpack what’s real, what’s hype, and what actually works today.
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What it takes to build and scale developer platforms | Canonical x Qualcomm

Jan 28, 2026 By Canonical Ubuntu In Canonical
Ubuntu on @qualcomm platforms simplifies access to Qualcomm’s advanced AI accelerators and capabilities, empowering developers and enterprises to innovate with confidence. Learn about the work we’re doing to bring Ubuntu to Arduino and other Qualcomm-powered boards. The Qualcomm and Canonical partnership provides developers with a reliable, security-focused, high performance operating system. In this video, Qualcomm breaks down how upstreaming, open standards, and Canonical solutions help developers move faster, from first boot to production.
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Komodor

How Cisco Revolutionized Platform Engineering with Komodor's Agentic AI

Jan 28, 2026 By Itiel Shwartz In Komodor
In the world of cloud-native infrastructure, complexity is the silent killer of innovation. For Cisco Outshift, the company’s incubation engine, managing a sprawling environment of AWS EKS clusters and edge-based MicroK8s workloads created a classic bottleneck: the Platform Engineering team was drowning in toil. Facing SRE burnout and the limits of human scaling, Cisco embarked on an ambitious journey to evolve its internal operations from standard DevOps to Agentic AI.
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devart

DataReader vs DataSet: A Guide to Connected and Disconnected Data Access

Jan 27, 2026 By Victoria Lazarus In Devart
DataReader and DataSet are two significant data access models that can greatly impact the performance, scalability, and responsiveness of your.NET application. The connected model, powered by DataReader, keeps a live connection open and streams data forward-only to maximize speed and minimize memory usage. The disconnected model, implemented through DataSet, takes the opposite approach. It loads data into memory so you can edit and reuse it without constant database interaction.
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resolve

How to Reduce Service Desk Workload with AI and Automation

Jan 27, 2026 By Zack Austin In Resolve
For many IT directors, the service desk feels permanently stretched. It’s a math problem that is forever in motion. Every quarter brings new apps, new devices, new access rules, and new ways for small issues to become daily interruptions. Even when tooling improves, the queue still grows because the work expands with the environment. The pressure shows up in familiar places, like rising ticket counts, tighter SLAs, and a large backlog of projects that need help.
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cortex

Recapping our webinar on the Engineering in the Age of AI: 2026 Benchmark Report

Jan 27, 2026 By Nikhil Unni In Cortex
I remember the first time I used an AI coding assistant. I watched the cursor dance across my screen and generate a hundred lines of code in seconds. It felt like I had finally found a cheat code for software engineering. That initial rush of productivity is a dopamine hit that's intoxicating and makes you think you can do anything with just a simple prompt or two.
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circleci

Optimize your CI/CD pipeline with CircleCI Chunk AI agent

Jan 27, 2026 By Roger Winter In CircleCI
A slow CI/CD pipeline costs more than just time. Developers context-switch while waiting for builds, feedback loops stretch longer, and compute costs add up with every inefficient run. Most teams know their pipelines could be faster, but optimizing configurations requires deep knowledge of caching strategies, parallelism, and resource allocation. The challenge compounds with AI-assisted development. As AI coding assistants help teams ship code faster, pipelines run more frequently.
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circleci

Refactor your codebase with CircleCI Chunk AI agent

Jan 27, 2026 By Roger Winter In CircleCI
d function there, and before long you’re navigating a codebase full of inconsistent patterns, repeated logic, and code that’s harder to maintain than it should be. Refactoring is essential, but finding the time to clean up code while shipping features is a constant challenge. The rise of AI-assisted development has accelerated this tension. AI coding assistants help teams ship features faster, but they don’t always produce consistent code.
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