Enterprise AI has reached an inflection point. After a wave of experimentation with LLMs, engineering leaders are discovering a hard truth: better models alone don’t deliver better outcomes. Context does. This realization is reshaping how organizations build AI systems as they move from copilots to fully autonomous agents. But there is “context” in that LLMs …
Some outages are straightforward. A region fails. A bad deploy slips through. A dependency goes dark. The fault gets traced, fixed, and the system moves on. The failures that do the most damage often go unseen beforehand. Everything appears healthy until traffic spikes. Servers are running. The database responds. The cache is up. Then checkout …
How about a company that’s working hard to make itself irrelevant? Jaya Baloo, co-founder of cybersecurity company AISLE, said that in a way, its eventual goal is to make obsolete the thing that AISLE does. And that is, completely eliminating vulnerabilities in code. Finding vulnerabilities is something the industry has done well, but remediating them …
Many companies are struggling because their first AI projects were siloed AI experiments, built in isolated spaces, like separate research labs. These experiments were hard to manage, often lacked proper security, and couldn’t connect safely to the company’s core business data. Broadcom’s solution is the VMware Tanzu Platform agent foundations, a secure, pre-built PaaS environment …
For much of software security history, development has followed a well-defined pattern: humans wrote code, tools checked it, humans reviewed it and if everything looked good, the code shipped. Tools were largely passive, existing to alert you when something was wrong, not invent new behavior. But the newest arrival on the software development scene has …
The AWS Kiro CLI team today is announcing v2.0, which delivers a headless mode, Windows support and an updated, refreshed user interface. For the uninitiated, Kiro CLI is a command-line tool that allows developers to interact with agents directly in their terminal. Headless mode enables users to run Kiro CLI without a browser, such as …
Today’s enterprises are actively embracing AI, prioritizing clear, measurable ROI. Yet as these organizations rush into production, many are discovering that the technical debt AI accumulates can be more complex and costlier than that of legacy systems. In fact, according to a study from HFS Research and Unqork, while 84% of organizations expect AI to …
Big companies are starting to use many AI agents—sometimes hundreds or thousands. This creates a problem. Think of it like a massive digital zoo where the animals (agents) are running wild. Platform teams face three critical challenges when managing this many agents: Visibility: Knowing what agents exist across the organization. Control: Governing who can publish …
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 …
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 …
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 …
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 …
