Application monitoring provider Sentry today announced the launch of Seer Agent, a new feature that enables developers to investigate and resolve production problems using natural language. Seer Agent uses Sentry’s complete telemetry to surface answers and connections that teams have a hard time finding on their own, significantly reducing the time spent debugging applications. According to …
Anaconda, an infrastructure provider for the Python community for over a decade, has released into public beta Anaconda Desktop, a single application designed for AI development. The application is built to unify the previously fractured workflow of managing large language models (LLMs) by bringing model discovery, local inference, and conda environment management together in one place. It …
The adoption of AI in software engineering is accelerating rapidly, yet organizations frequently struggle to translate early-stage experimentation into meaningful production results. In a recent SD Times Live! webinar, Will Lytle, Plandek chief operating officer, said the challenge isn’t with the tools, but in “how they’re applied within the system.” High-performing AI teams are recognizing …
Opsera has launched Forge, an intent and context-aware software factory that transforms raw ideas into enterprise-ready code at AI speed, with security, stability and compliance. Forge was created as an AI-SDLC that enforces context, spec-based development and guardrails that helps organizations get from idea to production more rapidly, using any coding assistant. “Modern, intelligent application …
Most people who use banking apps never think about what happens behind the scenes when a transaction goes through. They tap a button, money moves, and that’s that. But for the engineers responsible for making sure those transactions work reliably, the reality is considerably more complicated particularly when bugs only reveal themselves under very specific …
On the heels of its recent relesae of Claude Managed Agents, Anthropic this week has released to public beta Memory on Claude Managed Agents, which enables agents to learn from past sessions and share what they’ve learned with other agents. The memories are stored as files so developers can keep control over what these agents …
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, …
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 …
