Business of DevOps
Can QA Reignite its Purpose in the Agentic Code Generation Era?
Tzvika Shahaf | | agentic AI, AI code generation, flaky tests, QA automation, sdlc, software testingAI-generated code is accelerating development but it exposes a deeper issue. Why deterministic infrastructure is becoming the foundation of agentic QA ...
Unlocking Observability by Design With Inferred Schemas
Nicolas Takashi | | observability, OpenTelemetry, platform engineering, schema governance, telemetry pipelinesObservability systems generate massive telemetry, but schema drift creates friction. Learn how inferred schemas and OpenTelemetry Weaver restore structure ...
Context Engineering is the Key to Unlocking AI Agents in DevOps
Abhijit Ubale | | AI agents, automation, context engineering, context management, data governance, devops, incident management, kubernetes, memory architectures., Model Context Protocol, observability, operational complexity, performance optimization, production-grade agents, Productivity, scaling AI, selective context injection, structured memory, tool integration, workflow efficiencyExplore how context engineering is essential for transforming AI agents from experimental prototypes to reliable production tools in DevOps. Understand its impact on automation workflows, accuracy, and scalability ...
Google ADK Opens the Door to AI Agents That Work Inside Your DevOps Toolchain
Tom Smith | | Agile workflows, AI agents, AI-Driven Development, AI/ML ecosystem, CI/CD, code management, database queries, devops, engineering workflows, GitHub integration, Google ADK, MPL-based integrations, observability, observability-native frameworks, Pinecone, project management tools, software development, system performance, telemetery, third-party integrations, workflow automationGoogle ADK adds integrations for GitHub, GitLab, Jira, MongoDB, and seven observability tools. AI agents can now work inside your DevOps toolchain ...
Five Great DevOps Job Opportunities
DevOps.com is now providing a weekly DevOps jobs report through which opportunities for DevOps professionals will be highlighted as part of an effort to better serve our audience. Our goal in these ...
Security Flaws in Anthropic’s Claude Code Risk Stolen Data, System Takeover
Jeff Burt | | AI API Security, AI coding risks, AI coding tools, AI developer tools, Anthropic Claude Code, Check Point, MCP protocol, Palo Alto Unit 42Three critical vulnerabilities found in Anthropic’s Claude Code agentic AI developer tool could be exploited simply by cloning and opening an untrusted project and lead to system takeover, stolen API keys, and ...
Claude Code Remote Control Keeps Your Agent Local and Puts it in Your Pocket
Tom Smith | | AI coding agents, AI developer workflows, Anthropic AI coding, DevOps AI tooling, local vs cloud AI agents, local-first AI development, remote AI supervision, secure AI code executionClaude Code Remote Control lets developers run AI coding agents locally while supervising them from any browser or phone. Anthropic’s local-first approach contrasts with cloud agents and reshapes how teams govern AI-driven ...
Cursor Cloud Agents Get Their Own Computers — and 35% of Internal PRs to Prove It
Tom Smith | | agent-driven development, AI code review, AI coding agents, autonomous software development, CI/CD and AI agents, cloud-based AI development, Cursor cloud agents, devops automation, self-verifying AI code, software engineering automationCursor’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 ...
The Future of AI in Software Quality: How Autonomous Platforms are Transforming DevOps
Igor Kirilenko | | agentic AI, CI/CD pipelines, devops automation, software quality, static analysisAgentic 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 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 ...
