Contributed Content
The Rise of AI-Native DevOps: How AI Is Reshaping Software Delivery in 2026
For years, DevOps had a pretty straightforward mission: help teams ship reliable software faster by getting development and operations folks working together. Tools like automation, continuous integration, continuous delivery, infrastructure as code, ...
Why Standardized Developer Environments Still Break DevOps Workflows
Samuel Ogbonna | | CI/CD, Dev Containers, Developer Environments, developer experience, docker, reproducibilityStandardized developer environments promise to eliminate one of software engineering's oldest explanations: "It works on my machine." By packaging approved runtimes, dependencies and tools into containers, virtual machines or cloud workspaces, organizations ...
Why Reliability Guardrails Are Needed in Every AI Coding Pipeline
Kolton Andrus | | ai, AI agents, chaos engineering, CI/CD, reliability, site reliability engineeringWe’re in the middle of a reliability reckoning. Thanks to AI, companies are shipping code much faster than before. But if there’s anything to learn from the surge in high-profile outages over ...
Sandbox Testing for API-Heavy Systems: What Changes When You Don’t Own the Dependency
Sandbox testing works well when your team controls both sides of the integration. You define the service, you define the mock, you know exactly what the sandbox should return. That setup holds ...
From API Integration to Agent Governance: What Backend Teams Need to Know About MCP
Many MCP projects begin with an existing API and a simple request: expose one backend capability to an LLM client. The quickest route is to wrap an endpoint as a tool and ...
AI is Coding Us Into a Corner
Charlie Gero | | AI coding tools, AI dependency, AI hallucinations, AI patching, AI-generated code, application security, code review, code vulnerabilities, developer productivity, developer trust, frontier models, future software maintenance, Human Oversight, junior developers, secure coding, software engineering skills, software security, technical debtAI-powered patching and coding is putting us on a track towards a deepening dependency on future frontier models. The modern tools we use today to fix yesterday’s coding problems are quietly creating ...
So Agentic Systems Are Messing Up Your SLO Framework
Saqib Jan | | agent monitoring, agentic AI reliability, Agentic Systems, AI agent SLOs, AI infrastructure, AI observability, behavioral correctness, behavioral drift, error budgets, inference reliability, nondeterministic AI, platform engineering, Probabilistic Systems, probabilistic tracing, semantic similarityTraditional SLOs cannot show whether AI agents are behaving correctly. Platform teams need layered metrics for infrastructure, inference and behavioral reliability ...
Shift Left Security: 4 Automated Security Gates in GitHub Actions
Zia Ullah | | automated security testing, CI/CD security gates, CodeQL, container image scanning, CVE detection, DAST, dependency scanning, DevSecOps pipeline, Dynamic Application Security Testing, GitHub Actions security, Node.js security, npm audit, OWASP ZAP, SAST, shift left security, Snyk, Software Supply Chain Security, Static Application Security Testing, Trivy, vulnerability scanningLearn how to add four automated security gates to GitHub Actions using npm audit, Snyk, Trivy, CodeQL and OWASP ZAP—without an enterprise licence ...
Common Risks of Outsourcing Software Development, and How to Tackle Them
Roman Davydov | | Cybersecurity, devsecops, project management, software development, software development outsourcing, Third-Party RiskBoth SMBs and large enterprises often choose software development outsourcing over developing software in-house. It is no surprise, as partnering with external developers enables companies to bridge IT talent gaps that cannot ...
Open Source Code Just as Secure as Proprietary Software—If You Manage It Right, Says CISA
Joab Jackson | | AI security, CISA, federal government, open source software, Software Supply Chain, vulnerability managementOpen source can be just as safe as proprietary software, though government agencies (and private enterprises) should take additional measures to secure it properly, according to a new guide published by the ...
Why Log Monitoring Is the Missing Link in Most Incident Response Workflows
Modern engineering teams have invested heavily in observability. Dashboards are populated, alerts are configured, on-call rotations are set. Yet when production incidents occur, the average time to resolution hasn't dropped nearly as ...
Validation Debt That Your Dashboards Are Not Showing
Saqib Jan | | AI coding assistants, devops, Enterprise AI, software quality, software testing, validation debtThe gap between how fast AI writes code and how reliably teams verify it is quietly becoming a balance-sheet risk. Enterprise leaders are learning to measure it before it forces repayment. Every ...
