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19 articles
Blogs
Anthropic’s redesigned Claude Projects coordinates parallel Claude Code sessions, delegates work across branches and brings the results back through familiar pull-request review workflows.
Showing 1–19 of 19
Blogs
A three-tier model for agentic incident response balances AI automation with human oversight, matching autonomy to risk, reversibility, blast radius and diagnostic confidence.
AI
AI agents that trigger real-world changes need more than confidence scores. A durable change-control gate should recheck policy, require approval for consequential actions, enforce…
AI
Enterprise AI agents need more than stronger models. They need durable execution environments that can coordinate multi-step workflows, survive failures, pause for human review and…
AI
AI incident tools can reduce alert noise, but real root-cause diagnosis requires causal reasoning, live dependency context, uncertainty handling and strong postmortem data.
Blogs
Agentic AI is changing government infrastructure requirements, pushing agencies to rethink workflows, observability, data movement and resource prioritization before investing in n…
Blogs
Production-grade AI reliability requires more than uptime and latency. A layered eval system helps teams detect hallucinations, RAG failures and quality regressions before customer…
AI
When agents write code and open pull requests faster than humans can read them, ‘the diff looked fine’ stops being a control. The durable controls live outside the agent’s reasonin…
Blogs
Anthropic is making Claude Code’s auto mode the default for Pro, Max and Team users, replacing constant permission prompts with classifier-based guardrails designed to catch risky…
AI
Deploying AI agents in DevOps requires a granular approach to autonomy based on reversibility, blast radius, signal quality, and time sensitivity to build organizational trust.
AI
Generative AI first captured the world’s attention by producing content at an unprecedented speed. From lines of code and documentation to frameworks and designs, content creation…
AI
Are AI agents replacing DevOps engineers? Explore how tools like Claude are shifting DevOps from rigid automation to autonomous, adaptive systems, and why human judgment remains th…
AI
Generative AI (GenAI) is revolutionizing DevOps by automating manual tasks, enhancing productivity, and reducing errors. By integrating GenAI, teams can streamline workflows and de…
AI
Part 2: Discover how to harness incident history and AI to predict and prevent operational issues before they escalate, improving efficiency in Site Reliability Engineering.
AI
Part one of a three-part series: Discover how AI-driven reasoning agents are revolutionizing SRE practices by eliminating traditional toil and enhancing incident management.
AI
Telemetry is evolving from passive data to AI-grade fuel. Learn how agentic telemetry fuses human and machine context to power self-healing, intelligent systems.
AI
Observability platforms are evolving from passive monitors to active participants. Agentic AI promises a self-healing infrastructure that detects anomalies and fixes issues before…
AI
Onboarding AI agents is no longer optional—DevOps must treat them like new engineers, with guardrails, observability, and lifecycle management to prevent operational debt.
AI
AI agents can now generate, test, deploy, and monitor code — but removing humans from the loop is dangerous. Learn why oversight, guardrails, and collaboration are essential to the…
