Agentic artificial intelligence is becoming ingrained in enterprise operations at lightning speed. With the promise of delivering unprecedented productivity (and pushed by CEOs and CIOs who see AI as the key to being competitive), AI agents have become “co-pilots” for practically every developer. As a result, AI-generated code is turning up everywhere. But the hidden …
In the early 2020s, the software industry chased a singular north star: developer velocity. We promised that LLMs and agentic workflows would usher in a golden age of productivity. We are shipping code significantly faster than three years ago. Yet the structural integrity of our systems has never been more precarious. In 2026, we are …
WSO2 today is announcing that its Developer Platform for OpenChoreo 1.0, is now available. OpenChoreo is an open-source CNCF Sandbox project designed for platform engineers to build Kubernetes- and cloud-native internal developer platforms. The WSO2 platform enables teams to run OpenChoreo projects, but with stability, security and architectural guidance, the company said in a blog …
Broadcom today is releasing a major new version of its enterprise automation and orchestration product, Automic Automation V26, positioning it as an intelligent control plane. This release is designed to solve one of the most pressing challenges facing enterprise leaders today: moving AI beyond simple chat and knowledge management and integrating it directly into core …
I’ve spent the last decade in QA management, and if there’s one debate that consistently heats up when discussing strategy, it’s the selector approach. Specifically: Do we stick to the DOM or do we trust the “eyes” of the machine? For years, element-based automation was the undisputed king. It’s what we all learned: find the …
The cloud native ecosystem is betting big on AI agents as the next productivity multiplier for engineering teams. From automated code review to incident triage, agents promise to offload toil and accelerate delivery. But as organizations move past proof-of-concept demos and into production rollouts, a pattern is emerging: giving an agent access to tools is …
You rarely think about the systems that keep your digital life running. When a message is sent instantly, a payment clears without friction, or a video loads on the other side of the world without buffering, it feels natural. Like turning on a tap and expecting water. But behind that simplicity sits a vast and …
Wherobots is launching a set of features designed to make its powerful geospatial processing capabilities accessible to modern AI systems. Building on its core compute engine — the Wherobots DB, which processes two-dimensional data like map and trip information; and its raster flow tool, which handles aerial imagery data from satellites and drones — Wherobots …
On the heels of Anthropic’s announcement of Project Glasswing, the “find and fix” approach to bugs and vulnerabilities will have to be re-thought. Project Glasswing is a multi-vendor initiative to tighten cybersecurity, and it came together after seeing how frontier AI models can find and exploit vulnerabilities faster than they can be found and remediated …
A recent study by GitKraken, in partnership with GitClear, found that developers are seeking productivity gains using AI coding assistants, but are struggling to quantify those gains, or even evaluate whether that AI output is improved over what developers can produce. The report also found that the skill level of developers can create differences in …
There is a piece of management advice that circulates widely, feels intuitive, and is quietly becoming one of the more dangerous ideas in enterprise technology leadership. It goes something like this: once you cross into management, your job is to set direction, develop people, and remove obstacles. The technical details — the actual behavior of …
Most engineering organizations running traditional CI/CD pipelines eventually hit a ceiling. Deployments work until they don’t, and when they break, the fixes are manual, inconsistent, and hard to trace. For example, we recently reached that point after our third deployment incident in two months, each one caused by configuration drift between environments. Our pipelines had …
Executive Summary: The 2026 Engineering Leadership Pivot The Problem: Traditional SEO is failing as AI-powered search (Google Overviews/LLMs) reduces click-through rates on “commodity content.” The Solution: Brands must shift to Generative Engine Optimization (GEO) by leveraging the “borrowed authority” of trusted editorial platforms like SD Times. Key Insight: LLMs prioritize cited expertise from established domains. …
Architecture diagrams lie, a little. Not on purpose. They show boxes and arrows in clean arrangements and make everything look sequential and tidy. What they cannot show is what fails first, what surprised you, and which decisions you would fight hardest to keep if someone wanted to simplify things. This is about those decisions. The …
AI adoption in software engineering is accelerating, but the real story lies in how top-performing teams are turning it into measurable impact. While many organisations remain stuck in experimentation, leading teams are successfully translating AI-driven productivity gains into improved delivery performance. The difference isn’t the tools, it’s how they’re applied within the system. …
Most QA teams are stuck measuring how many tests they ran. But in a tightened economy, leadership wants to know one thing: What is the ROI? On May 7th, join SD Times for Supercast 2: The ROI of Intelligent Quality. We’re shifting the conversation from simple test automation to real business outcomes. …
Engineering leaders are under more pressure than ever. AI coding tools are being rolled out across teams at breakneck speed. Executives want to see measurable impact. DORA metrics and throughput numbers tell part of the story, but they can’t tell you why deployment frequency dipped last quarter, or whether your developers actually trust the AI-generated …
Building Context Aware Systems Developers Can Rely On AI is rapidly becoming embedded in the software development lifecycle. Yet many organizations are discovering a hard truth: intelligence without context is unreliable. Models generate plausible output, but they lack awareness of system architecture, internal policies, API contracts, ownership structures, and downstream impact. In enterprise environments, that …
Join the premier event series to uncover the latest in AI in Test trends related to MCP, Agents, and AI driven automation. Speakers will present solutions you to learn how to deliver value for your organizations. …
Your engineering team is using AI coding tools, but when the CEO, CFO, or board asks, “What’s the actual ROI?”, you’re stuck between “It feels faster” and “I can’t actually prove it.” License counts are useless, and velocity metrics can’t isolate the AI variable. Join GitKraken’s VP of Engineering, Stasia Zamyshlyaeva, as she shares her …
AI adoption in software engineering is accelerating, but the real story lies in how top-performing teams are turning it into measurable impact. While many organisations remain stuck in experimentation, leading teams are successfully translating AI-driven productivity gains into improved delivery performance. The difference isn’t the tools, it’s how they’re applied within the system. …
Most QA teams are stuck measuring how many tests they ran. But in a tightened economy, leadership wants to know one thing: What is the ROI? On May 7th, join SD Times for Supercast 2: The ROI of Intelligent Quality. We’re shifting the conversation from simple test automation to real business outcomes. …
Engineering leaders are under more pressure than ever. AI coding tools are being rolled out across teams at breakneck speed. Executives want to see measurable impact. DORA metrics and throughput numbers tell part of the story, but they can’t tell you why deployment frequency dipped last quarter, or whether your developers actually trust the AI-generated …
Building Context Aware Systems Developers Can Rely On AI is rapidly becoming embedded in the software development lifecycle. Yet many organizations are discovering a hard truth: intelligence without context is unreliable. Models generate plausible output, but they lack awareness of system architecture, internal policies, API contracts, ownership structures, and downstream impact. In enterprise environments, that …
Join the premier event series to uncover the latest in AI in Test trends related to MCP, Agents, and AI driven automation. Speakers will present solutions you to learn how to deliver value for your organizations. …
Your engineering team is using AI coding tools, but when the CEO, CFO, or board asks, “What’s the actual ROI?”, you’re stuck between “It feels faster” and “I can’t actually prove it.” License counts are useless, and velocity metrics can’t isolate the AI variable. Join GitKraken’s VP of Engineering, Stasia Zamyshlyaeva, as she shares her …
