With the speed of AI-generated code and the quality and security teams overwhelmed by the avalanche, engineers who need to be dialed in to what’s happening at all times now don’t have to look any farther than their cellphones. Today, OpenAI announced Codex for mobile devices, launching as a preview in the ChatGPT mobile app, …
We are rewarding teams for how fast they generate code instead of how deeply they understand systems. Right now, developers can create APIs, microservices, cloud deployments, database layers, authentication flows, and front-end applications in hours using AI coding assistants. Demos look incredible. Productivity charts look incredible. Leadership sees velocity and assumes engineering capability has improved. …
In modern software development shops, the sound of mechanical keyboards has been replaced with the silent exchange of tokens. This is the world of vibe coding, a term that Cameron Etezadi, CTO of LaunchDarkly, views with a mix of skepticism and wonder. After 30 years in the industry, Etezadi has seen the cost of writing …
AWS upgrades Kiro agentic development platform AWS announced that Kiro, its agentic software development platform built around spec-driven development, is getting three upgrades: Parallel Task Execution, which runs independent coding tasks concurrently; Quick Plan, which generates full requirements/design/tasks in one pass after asking clarifying questions upfront; and Requirements Analysis, which uses neurosymbolic AI to find …
Years before I created MultiCloudJ, an open-source Java SDK for multi-cloud development, I spent a long apprenticeship submitting patches to projects I didn’t own. My first patch to a major open-source database took a few days to design and several weeks to merge. Three maintainers reviewed it. Two asked me to rethink the approach to …
Secure Code Warrior collaborating with AWS, launches Amazon Bedrock AI Learning Modules Secure Code Warrior announced it has signed a collaboration agreement with Amazon Web Services (AWS), and has launched new interactive, hands-on training modules now available within the Secure Code Warrior platform. The new modules enable developers and engineers to build Secure by Design …
Open source solutions provider Red Hat today announced a significant expansion of its developer portfolio, with the general availability of Red Hat Desktop and major enhancements to the Red Hat Advanced Developer Suite. The announcement, made at the Red Hat Summit in Atlanta, addresses the disconnect between experimental local coding and deployment. By unifying the …
As enterprises scramble to integrate autonomous AI agents into their core business processes, a new economic reality is setting in. While frontier models accessible by cloud APIs offer the fastest path to innovation, they are simultaneously creating what experts call the Agentic Paradox: where the cost of success threatens to bankrupt the very innovation it …
I’ve been working with Docker for over a decade. I containerized my first production service when Docker Compose was still Fig. Back then, people debated if containers would replace VMs. Time settled that argument. Containers won. But something interesting happened along the way: Docker stopped being just a container company. If you’ve been heads-down in …
Here is a scenario that plays out constantly in enterprise software teams. A product manager asks the company’s AI assistant: “Who are our top customers this quarter?” The system returns a clean, ranked list. It looks right. Everyone moves on. Except the product group defines “top” by engagement. Finance defines it by net revenue. Sales …
Software companies are constantly trying to add more and more AI features to their platforms, and AI companies are constantly releasing new models and features. It can be hard to keep up with it all, so we’ve written this roundup to share some notable updates around AI that software developers should know about. Coder Launches …
There’s a moment that’s become familiar to engineering teams everywhere: you feed your codebase into an AI tool, wait a few seconds, and watch thousands of new test cases appear. It feels like a breakthrough. It often isn’t. Recent outages affecting major cloud platforms like Amazon Web Services have reminded engineering leaders how fragile modern …
Anthropic today launched Claude Managed Agents as a research preview. Dreaming extends memory by reviewing past sessions to find patterns and help agents self-improve. We’re also making outcomes, multiagent orchestration, and webhooks available to developers building with Managed Agents. Together, these updates make agents more capable at handling complex tasks with minimal steering. Build self-improving agents …
Atlassian today has unveiled a massive suite of AI-driven updates at its annual Team event, signaling a major shift toward an AI-native ecosystem. Central to the announcement is the expansion of the Teamwork Graph and the evolution of Rovo, Atlassian’s flagship AI agent, which are designed to harness organizational context to deliver unprecedented productivity gains. …
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 …
