Cursor Cloud Agents Get Their Own Computers — and 35% of Internal PRs to Prove It
Cursor’s new cloud AI coding agents can build, test, and verify software autonomously using real UI interaction. With 35% of production PRs generated by agents, software delivery is shifting from code authoring to agent orchestration and governance.
The Future of AI in Software Quality: How Autonomous Platforms are Transforming DevOps
Agentic AI is transforming DevOps by embedding autonomous quality checks into CI/CD pipelines, improving code security, coverage and speed.
How OPA Changed Our Go-No-Go Forever
Learn how Open Policy Agent (OPA) transformed go/no-go releases from subjective meetings into automated, auditable, policy-driven decisions embedded directly in the CI/CD pipeline.
The Great Infrastructure Migration: Why Teams are Moving From Manual Provisioning to Autonomous Platforms
Autonomous infrastructure platforms replace manual provisioning, accelerating delivery, improving compliance and freeing platform teams to focus on strategic work.
Arm Aims to Foster Software Engineering Ecosystem
A CoreCollective initiative was launched today, encouraging software developers that build tools and applications that run on Arm processors to work more collaboratively. Created by Arm in collaboration with Linaro, a provider of software engineering services, the CoreCollective ecosystem includes Ampere, Canonical, CIX Technology, Fujitsu, Google, Graphcore, Microsoft, Qualcomm, Red Hat, Samsung and SUSE. Andy […]
The AI Productivity Paradox: How Developer Throughput Can Stall
Software engineering leaders have invested heavily in generative AI coding assistants for over two years—and for good reason. For many teams, the productivity gains appear significant. I hear the same story in conversations with leadership at dozens of enterprises: thanks to AI, developers complete tasks faster, write more code, and spend less time on boilerplate […]
A Blog Post About COBOL Just Cost IBM $30 Billion. Here’s What Actually Happened.
A single Anthropic blog post wiped billions off IBM’s market value—but the AI-driven COBOL modernization it described has existed for years. This is a case study in how AI hype, not fundamentals, is driving market volatility.
AWS Extends Agentic AI Capabilities of Kiro Developer Tool to Improve Code Quality
Amazon Web Services (AWS) has added two additional capabilities to its Kiro artificial intelligence (AI) coding tool that promise to make it simpler to both create higher quality software in the first place and fix any bugs that might have inadvertently been included. At the core of that capability is a specifications-based approach to enabling […]
Harness Makes Registry for Integrating Artifacts into DevOps Workflows Available
Harness today made generally available an Artifact Registry it has added to its portfolio of DevOps tools and platforms. At the same time, Harness also revealed it has added a Dependency Firewall to the registry that enables DevSecOps teams to enforce controls at the point of ingestion. Rather than relying on downstream scans after a […]
The Hidden Security Risks in Modern JavaScript Frameworks and How React Teams Can Reduce Them
React and modern JavaScript frameworks accelerate development—but hide serious security risks. Learn where vulnerabilities come from and how to reduce client-side attack surfaces.
GitOps Implementation at Enterprise Scale — Moving Beyond Traditional CI/CD
Traditional CI/CD pipelines hit scaling limits. Learn how GitOps improves deployment reliability, security, and DORA metrics—and what it takes to migrate successfully.
Claude Code Security Finds the Bugs That Static Analysis Can’t — and Wall Street Noticed
Claude Code Security scans code like a human researcher, not a rule engine. Anthropic found 500+ decade-old bugs — and cybersecurity stocks felt it.
Five Great DevOps Job Opportunities
Browse our weekly DevOps jobs report highlighting high-paying DevOps roles from leading companies including Pax8, JPMorgan Chase, Major League Baseball and more. Explore current opportunities and insights into the DevOps job market.
Survey: Adoption of AI Software Testing Slowed by Trust Issues
A new global survey from Leapwork underscores a growing tension in software development: while AI is widely viewed as essential to the future of testing, many teams remain hesitant to rely on it for mission-critical workflows. Based on responses from more than 300 engineers and IT decision-makers, the research indicates that enthusiasm for AI-enabled testing is high. […]
AWS Just Turned “Deploy to AWS” Into a Five-Word Prompt
AWS Agent Plugins give coding agents the skills to architect, estimate costs, and deploy to AWS. Type “deploy to AWS” and the agent handles the rest.
When DevOps Meets the Cloud: A Real-World Transformation Story
A real-world DevOps and cloud transformation story showing how automation, observability, and cultural change improved reliability and delivery.
Why AI Makes Requirements a Runtime Artifact
In traditional software, requirements are static design-time artifacts. In AI-enabled systems, they must be continuously observed and enforced in production. Learn how AI collapses the boundary between design-time and runtime, shifting requirements toward behavioral constraints, continuous verification, and shared ownership across engineering and operations
What to do About AI’s Forced Rethink of Reliability in Modern DevOps
As systems become more distributed and AI-driven, traditional uptime metrics are no longer enough. The 2026 SRE Report shows how reliability is shifting toward user experience, speed, and business impact, and how AI is reshaping monitoring, incident response, and the role of SRE and DevOps leaders.
Test Automation Strategy for Growing Software Teams
Build a scalable test automation strategy that improves release speed, reduces defects, and supports growing software teams.
Checkmarx Extends Vulnerability Detection to AI Coding Tool from AWS
Checkmarx this week revealed it has added support for the Kiro artificial intelligence (AI) coding tool provided by Amazon Web Services (AWS) to its Checkmarx Developer Assist that leverages AI to surface vulnerabilities before code is committed. The Checkmarx IDE extension for Kiro is designed to be activated from within the Developer Assist tab that […]
GitHub Tests AI Agents to Handle Repository Upkeep
GitHub is introducing a new approach to streamline developer workflow, offering AI agents that can shoulder the repetitive tasks that accumulate inside code repositories. Known as Agentic Workflows, the feature is available in technical preview and is designed to embed AI into GitHub Actions as an integrated part of the production process. GitHub promotes Agentic […]
What a ‘Good Plan’ Really Means for AI Coding Agents
Explore how AI coding agents are transforming software development. This article discusses the importance of clear objectives, runnable tasks, and continuous validation in planning to ensure that the transition from idea to production is seamless and efficient. Learn how effective planning and clarity are essential for modern application development.
Tool Fragmentation is Breaking Delivery Context — Here’s What Teams are Learning
Explore the emerging crisis in application delivery caused by tool fragmentation in modern software development. This article discusses the need for semantic interoperability, context preservation, and a shift from linear pipelines to graph-based architectures to enhance efficiency and reduce cognitive load for developers