Building a Cluster-Aware AI Agent with Kubernetes, Argo CD, and GitOps
A practical walkthrough of running a self-hosted, read-only AI agent inside a Kubernetes cluster, with the full CI/CD chain handled by GitHub Actions and Argo CD Image Updater.
Referenced Coverage & Sources
Control Agent Behaviors and Cost Beyond a Single Action: New Capabilities in Amazon Bedrock AgentCore
Learn about new capabilities in Amazon Bedrock AgentCore: temporal policies powered by Dogwood, a new open source policy language for AI agents, and rate.
Agent Skills for Automated Reasoning Policies in Amazon Bedrock
Learn how to run the full Amazon Bedrock Automated Reasoning policy lifecycle from your coding agent.
A Guide to Slash Commands in the GitHub Copilot App
Go beyond chat in the GitHub Copilot app with these slash commands. They'll help you plan, collaborate, automate, and customize your dev workflow.
How We Took Malware Advisories Beyond Npm
GitHub malware advisories no longer stop at npm.
AI Agent
An AI Agent is an autonomous entity that perceives its environment through sensors (or inputs) and acts upon that environment using actuators (or tools) to achieve specific goals. An agent relies on a reasoning brain (typically an LLM) to plan and execute multi-step processes.
Agentic AI
Agentic AI refers to artificial intelligence systems designed to act autonomously, make decisions, plan workflows, and execute tasks without constant human intervention. Unlike traditional models that only respond to queries, agentic systems use an agentic loop to perceive environments, reason over goals, use tools, and iterate to achieve outcomes.
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