What are Agentic Loops?

S/o Coderabbit for sponsoring today’s vid: https://startup-ideas-pod.link/code-rabbit

On this episode I sit down with Professor Ras Mic to break down agentic loops. We define what a loop is, explain why well-known builders like Boris and Peter swear by them, and stay honest about who they truly serve. Mic argues that human-in-the-loop remains the strongest setup today, and he walks through the one loop he runs every day for code review using Cursor, GitHub, and Greptile. By the end you will know when a loop earns its place and when your own hand belongs on the wheel.

Timestamps

00:00 – Intro

01:23 – What is a Loop

07:59 – /goal Explained

11:32 – The Slop Machine

12:42 – Code Review as a use case for Agentic Loop

18:19 – Honest Take for Builders

20:42 – The Future of Loops

21:50 – Closing Thoughts

Key Points

• A loop fires once from a human, then the agent generates, reviews its own result, and feeds it back to keep building.
• Human-in-the-loop keeps you directing, governing, and approving each step while the agent builds.
• Wide-open loops make heavy assumptions and burn serious tokens; Michael cites Peter's tweet about $1.3 million worth of tokens in one month.
• Reserve slash goal and similar loops for the $200/month plan, since the $20 and $100 tiers burn through fast.
• Loops shine in confined, fixed-feedback work: code review, SEO pages, and other binary tasks.
• Mic’s daily win is a closed code-review loop with Cursor, GitHub, and Greptile that chases a 5/5 score.

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