Definition

LLM using tools in a loop with context

This definition of an AI agent clicked for me. Not the marketing fluff about "autonomous systems" or "intelligent assistants." An agent is simply an LLM that can use tools, runs in a loop until the task is done, and maintains context throughout.

while(task) { think → act → observe }

The Difference

Agentic AI vs Conversational AI

LLM

AGENTIC AI

LLM + Tools + Loop + Context

while(task) { think → act → observe }
vs
ONE SHOT

CONVERSATIONAL AI

Single prompt, single response

prompt → response → done

Evolution

The Rise of Agentic Coding

Feb 2025

Anthropic released Claude Code, the first true terminal agent. It could autonomously navigate codebases, run tests, and ship changes.

Jan 2026

Cursor released "agents in your terminal" 11 months after Claude Code. The rest of the industry scrambled to catch up.

Now

Teams who master agentic development ship quality software 3-5x faster. Where are you on the path from conversational AI to agentic AI?

Advantage

Why Terminal Agents Win

IDE agents are sandboxed. Terminal agents have full system access.

Extensibility

Hooks for pre/post actions. Custom MCP servers. Integration with any CLI tool.

Operational Power

Write and execute bash scripts. Configure AWS/GCP/Azure via CLI. Infrastructure as code.

Pipeline Integration

Git hooks and pre-commit. CI/CD automation. Build and deploy workflows.

Full System Access

File system operations. Process management. Network and API calls.

Breakthrough

The Learning Loop

while(task) { think → act → observe }

The loop naturally learns through iteration. Each cycle's "think" is informed by the previous cycle's "observe" — that is reflection. The iteration itself creates learning.

"After writing my first LLM loop, I lost sleep the next night. I lay awake having visions of the agentic future, seeing how every repetitive task, every debugging session, every code review could be transformed.

Once you build your first loop, your perspective changes. You stop thinking about AI as a chatbot and start seeing it as a collaborator that gets better with each iteration. That's the moment everything clicks."

Kaido Koort

Ready to Build Your Mech?

Our 6-week program teaches you to build the agentic harness around Claude Code — a living system of tools, context, and workflows that grows with your codebase.

View Full Program

Not ready to commit? Talk to Kaido about a hackathon for your team.

View Full Program →