Tag: autonomous agents
Shadow Mode Continuous Integration: The Missing Test Layer for AI Agents
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 isolated Docker environment, replay realistic workflows, ...
When AI Goes Really, Really Wrong: How PocketOS Lost All Its Data
Steven J. Vaughan-Nichols | | AI agent, AI coding agent, AI safety, Anthropic, Anthropic Claude, autonomous agents, backups, Claude, Cloud Security, Cursor, data loss, PocketOS, RailwayYou 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 ...
Why Your AI Agent Strategy is Failing (and How to Fix It): The Microservices Playbook for AI AgentsÂ
Lokhesh Ujhoodha | | agentic AI, AI agent transparency, AI agent trust, AI agents, AI architecture, AI Governance, AI infrastructure, AI microservices, AI observability, AI ROI, autonomous agents, CIO AI strategy, Enterprise AI, enterprise AI strategy, LLM adoption, microservices architecture, monolithic AI agentsDespite billions in AI investment and countless vendor promises, most enterprises are still treating AI agents like glorified copilots rather than autonomous systems. After working with numerous enterprise customers implementing AI agents across various ...
The Agentic AI-Driven Future of TelemetryÂ
Perry Correll | | 10x investigators, agentic telemetry, AI infrastructure, AI observability, AI reasoning, AI scalability, AI-driven operations, AI-first architecture, autonomous agents, context fusion, contextual telemetry, human-in-the-loop, KubeCon + CNC NA 2025, MELT stack, metrics events logs traces, observability platforms, OCSF, OpenTelemetry, schema-agnostic architecture, telemetry normalizationTelemetry is evolving from passive data to AI-grade fuel. Learn how agentic telemetry fuses human and machine context to power self-healing, intelligent systems ...
Before You Go Agentic: Top Guardrails to Safely Deploy AI Agents in ObservabilityÂ
Pankaj Thakkar | | agentic AI, AI audit trails, AI cost management, AI deployment controls, AI Governance, AI guardrails, AI in DevOps, AI observability safety, AI operations, AI policy validation, AI rate limiting, autonomous agents, data privacy, human-in-the-loop, KubeCon 2025, observability, OpenTelemetry, role-based access control, self-healing infrastructure, zero-trustObservability platforms are evolving from passive monitors to active participants. Agentic AI promises a self-healing infrastructure that detects anomalies and fixes issues before users notice, reducing resolution time from hours to minutes ...
The Developer’s Guide to Agentic AI: The Five Stages of Agent Lifecycle Management
Dan Fernandez | | adaptive AI systems, agent lifecycle management, agent-based systems, agentic enterprise, AI adaptability, AI agents, AI ALM, AI development lifecycle, AI Governance, AI in enterprise, AI innovation, autonomous agents, business automation, continuous AI improvement, enterprise transformation, generative AI, intent-driven agents, Salesforce Agentforce, self-improving AI, Stanford SIRIUS frameworkDiscover how AI agents evolve from task executors to adaptive, self-improving systems through Agentic Lifecycle Management, driving agility and innovation ...
