Contributed Content
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 ...
DevOps Is Drowning in Updates—and Engineering Is Paying the Price
Alex Vakulov | | cloud operations, devops, devsecops, information overload, platform engineering, site reliability engineeringDevOps used to be a manageable rhythm: several core tools, a handful of respected blogs, and a few incident write-ups that made everyone slightly uncomfortable in a useful way. Now it feels ...
The Innovation Puzzle 2.0: Connecting Vision and Value
Suneetha Uppalapati | | AI Governance, AI strategy, developer productivity, digital transformation, enterprise architecture, enterprise innovationThe tech landscape constantly evolves, making it tempting to chase every new trend. Ironically, in today's business world, the word "innovation" has become almost synonymous with technology adoption. Yet after years of ...
These are 10 CI/CD Pipeline Mistakes That Slow Down Engineering Teams
Sandeep Kumar Khandelwal | | CI/CD, CI/CD pipelines, continuous delivery, continuous integration, devops, pipeline automationContinuous software delivery in the digital age has come to depend on CI/CD pipelines. They enable engineering teams to rapidly develop, test, and deploy code while keeping it highly usable and consistent ...
The End of Manual Triage
Neel Shah | | agentic SRE, AI-powered SRE, Aiden for SRE, alert enrichment, automated diagnosis, automated incident triage, Datadog Bits AI, distributed systems reliability, incident investigation, incident response automation, machine-assisted triage, manual incident triage, MTTR reduction, observability correlation, observability-first design, on-call engineering, operational context, progressive automation, root cause analysis, Rootly, SRE architecture, SRE automation, telemetry correlationWhy SRE teams are replacing manual incident triage with AI-assisted correlation, stronger observability and controlled agentic workflows ...
