For those of us who have been around long enough to remember when “WinTel” was a term of endearment (or a curse, depending on your stock portfolio), the idea of someone displacing Microsoft and Intel feels a bit like suggesting the sun might decide to rise in the west tomorrow. But as I look at …
Companies are shifting from gen AI that simply answers questions to autonomous agents that perceive, reason, and act on their behalf. Attempting to scale these agents on legacy stacks exposes structural failures that can lead to fractured governance, a persistent trust gap, and broken reasoning loops, all while causing costs to spiral. To solve this, …
Gitar launches AI-code validation platform A startup developer infrastructure company has built AI agents for code review and CI workflows. The company is called Gitar, and its platform addresses the challenge of keeping up with AI-generated code validation using only manual qualilty gates, which cannot scale. As the amount and pace of code generated by AI …
AI has promised to help developers move faster without sacrificing quality, and on many fronts, it has. Today, most developers use AI tools in their daily workflows and report that it helps them work faster and increase code output. In fact, our developer survey shows nearly 70% of developers feel that AI agents have increased …
When I stepped into the program, it had gone through multiple attempts without reaching production readiness. Each previous effort had made partial progress — but none had gotten the system to a state it could actually ship. No, the team wasn’t solving the wrong technical problems; the real issue was a lack of alignment at …
The MCP Dev Summit featured more than 50 sponsors offering MCP and related agentic AI products for the enterprise. Here are some offerings: StackLok provides a complete runtime, security, and governance platform for MCP servers, including an MCP gateway, registry, runtime guardrails, and a developer/admin portal. Developers can deploy their MCP servers using the StackLok …
Common themes emerged from among the 114 talks at the conference, including: “MCP Is Not Dead”: Late last year, social media debated whether MCP is dead because applications can use a command line interface (CLI) instead of MCP to interact with agents. Every speaker addressed this meme directly, and the Maintainers Roundtable noted that both …
Everything connected to the generative AI world moves fast, including AI agents. Take, for example, the Model Context Protocol (MCP) that agents use to access data and tools. The adoption rate of MCP is off the charts. But can the new Agentic AI Foundation (AAIF) move quickly enough to standardize the entire agentic AI ecosystem, …
The conversation around AI in software development has shifted from “if” it will be used to “how much” it is already producing. As of early 2026, the volume of machine-generated contributions has hit a critical mass that traditional manual workflows can no longer sustain. According to the recent Sonar State of Code Developer Survey report, AI …
The rush to adopt agentic AI presents significant challenges for enterprises, particularly around governance, security, and ensuring reliability in production environments. Two new open-source projects created by Solo.io, Agent Registry and Agent Evals, aim to solve these critical adoption hurdles. The Agent Registry was open-sourced at KubeCon Atlanta and subsequently donated to the Cloud Native Computing Foundation as …
A top-10 global bank recently told my team that what took six months with their legacy orchestration platform, they rebuilt in six days. Not because they hired better engineers. Because the coordination layer matched the complexity of what they were trying to do. That gap between what enterprises need to automate and what their orchestration …
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 …
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 …
