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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 ...
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 ...
The Hidden Security Risks in Modern JavaScript Frameworks and How React Teams Can Reduce Them
Samuel Ogbonna | | client-side rendering security, client-side vulnerabilities, content security policy, Dependency Management, frontend attack surface, frontend security best practices, input validation, JavaScript dependencies, JavaScript security, JavaScript vulnerabilities, modern JavaScript frameworks, NPM security, React application security, React security risks, secure React development, SPA security, state management security, third-party libraries risk, web application security, XSS attacksReact 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
Sumanth Kadulla | | ArgoCD, change traceability, CI/CD migration, CI/CD reliability, cloud native delivery, configuration drift, declarative infrastructure, deployment automation, deployment rollback strategy, DevOps at scale, devsecops, dora metrics, gitops, GitOps adoption, GitOps security, infrastructure as code, Kubernetes continuous delivery, platform engineering, policy as code, pull-based deploymentsTraditional 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
Mike Vizard | | DevOps architect jobs, DevOps careers, DevOps integration specialist, DevOps job market, devops jobs, high paying DevOps roles, senior DevOps engineer jobsBrowse 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 ...
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
Yashwanth | | CI/CD Automation, cloud migration, DevOps transformation, infrastructure as code, observabilityA 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
Tom Hollowell | | AI behavior, AI Governance, AI requirements, continuous verification, MLOps, model drift, production monitoring, requirements traceability, runtime constraintsIn 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 ...
What to do About AI’s Forced Rethink of Reliability in Modern DevOps
Leo Vasiliou | | Agentic Workflows, AI monitoring, AI observability, AI reliability, AI. analytics, business impact, CDNs, customer churn, devops, digital experience, experience-driven resilience, incident response, internet stack, KPIs, latency, LLM applications, model drift, monitoring tools, NPS, observability, performance, performance degradation, reliability, reliability strategy, revenue, SaaS, site reliability engineering, SLIs, SLOs, SRE Report 2026, Third-party Dependencies, trust, uptime, user experienceAs 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 ...
Test Automation Strategy for Growing Software Teams
Build a scalable test automation strategy that improves release speed, reduces defects, and supports growing software teams ...
