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10 articles
AI
Anthropic’s AI-native SDLC playbook argues that faster coding is shifting the bottleneck to planning, testing, governance, deployment and operations.
Showing 1–10 of 10
Blogs
Agentic AI is changing government infrastructure requirements, pushing agencies to rethink workflows, observability, data movement and resource prioritization before investing in n…
Blogs
AI agents are not just microservices with LLMs attached. Their long-running, non-deterministic workflows demand durable execution, per-step identity, governance and observability.
AI
Microsoft is combining Copilot Chat, Code, Cowork and Autopilots into one super app, raising new questions about agent governance, identity, licensing and security.
AI
Autonomous agents require CI/CD pipelines that evaluate behavior, not just artifacts. Containerized shadow mode gives platform teams a practical control point: Run the agent in an…
DevSecOps
You can’t make this crap up. You just wish you could. Jer Crane, founder of the small vertical software company, PocketOS, reported on X that the AI Cursor coding agent and a Railw…
AI
Despite billions in AI investment and countless vendor promises, most enterprises are still treating AI agents like glorified copilots rather than autonomous systems. After working…
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
Discover how AI agents evolve from task executors to adaptive, self-improving systems through Agentic Lifecycle Management, driving agility and innovation.
