AWS Agent Registry: Taming Wild Agents

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 … continue reading

AI-assisted Development Multiplies Human Error: What’s Your AI Governance and Risk Management Strategy?

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 … continue reading

We’re Coding 40% Faster, but Building on Sand: The 2026 Quality Collapse

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 … continue reading

WSO2 unveils developer platform for OpenChoreo 1.0

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 … continue reading

Broadcom’s Automic Automation V26 Unveiled: Bringing Trust and Governance to AI in Enterprise Business Operations

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 … continue reading

The Missing Context Layer: Why Tool Access Alone Won’t Make AI Agents Useful in Engineering

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 … continue reading

Why Today’s Most Reliable Platforms Are Built to Expect Failure

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 … continue reading

Wherobots is Bringing Spatial Context to AI

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 … continue reading

Anthropic’s Project Glasswing addresses how AI exploits vulnerabilities

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 … continue reading

GitKraken Survey: Developer skills still matter even as AI code generation grows

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 … continue reading

Leadership in the Age of AI: Why Managers Need to Stay Technical

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 … continue reading

GitOps Implementation at Enterprise Scale, Moving Beyond Traditional CI/CD

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 … continue reading

Beyond the Blue Link: Why “Borrowed Authority” is the Only Way to Reach Engineering Leaders in the AI Era

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. … continue reading

Inside the Pipe: What the Architecture Diagram Doesn’t Tell You

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 … continue reading

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