Agents
How coding agents work, from the agentic loop and tool use to infrastructure applications and human-in-the-loop guardrails.
Coding agents are the next step beyond chat-based LLM interaction. Instead of answering a single question, an agent can read files, execute commands, observe the results, and iterate - working through a task over multiple steps without requiring a prompt for each action.
For platform engineers, this shift is significant. The same workflows you run manually - inspecting cluster state, diffing a configuration, applying a design, validating output - can be delegated to an agent that understands context, uses tools, and asks for approval before doing anything destructive.
This course builds a complete mental model of coding agents: how they work internally, what tool use looks like in practice, how to apply them to real infrastructure tasks with Meshery, and how to keep a human in the loop where it matters. By the end, you will be equipped to evaluate and use agents for infrastructure work without treating them as a black box.
How coding agents work, from the agentic loop and tool use to infrastructure applications and human-in-the-loop guardrails.