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The Real Python Podcast · Friday · 1 hr 7 min

Codemoo: Demonstrating How Coding Agents Work

How do you assemble the core pieces of a coding agent? How are developers defining projects through conversation and introspection? This week on the show, Geir Arne Hjelle returns to talk about his recent project to demonstrate how coding agents work under the hood. Geir Arne was my first guest on this program and has returned often over the years. He’s been exploring how coding agents work and has built a demonstration tool to explain them. We also discuss how he is using LLM tools in his work. We talk about moving beyond Spec-Driven Development to using tools that help you build architecture documents through thorough questioning sessions. Course Spotlight: Modern Python Linting With Ruff Ruff is a blazing-fast, modern Python linter with a simple interface that can replace Pylint, isort, and Black—and it’s rapidly becoming popular. Topics: 00:00:00 – Introduction 00:01:52 – Codemoo - Demonstrating how coding agents work under the hood 00:06:39 – Exploring Spec-Driven Development 00:09:38 – Breaking into the levels of a harness 00:17:08 – Tool calling 00:24:20 – Being a newbie again 00:29:00 – Designing the progression 00:35:29 – Video Course Spotlight 00:37:01 – What was difficult about the process? 00:41:09 – What tools are you using currently? 00:44:10 – Moving from OpenSpec toward grill-me 00:50:43 – Deciding on which LLM 00:53:49 – garuff: Opinionated Python linter rules for coding agents 00:58:00 – Offsetting atrophy with code challenges 01:01:56 – What are you excited about in the world of Python? 01:04:01 – What do you want to learn next? 01:05:55 – How can people follow your work online? 01:06:23 – Thanks and goodbye Show Links: codemoo: Demonstration of how coding agents work under the hood - GitHub codemoo - PyPI configaroo: Bouncy configuration handling koalaty: Evaluate and compare models in agent harnesses Episode #277: Moving Towards Spec-Driven Development OpenSpec: Spec-driven development (SDD) for AI coding assistants. Build your own Claude Code - CodeCrafters claude-howto: A visual, example-driven guide to Claude Code Matt Pocock: Become a Real AI Hero The /grill-me Skill mattpocock/skills: Skills for Real Engineers. Straight from my .agents directory. garuff: Personal and opinionated Python linter rules aimed at coding agents garuff - PyPI Advent of Code 2025 Advent of Code: Solving Your Puzzles With Python – Real Python Everybody Codes dailyprog.club: A daily programming puzzle app. - Codeberg.org FlipFlop Python 3.15 Preview: Lazy Imports – Real Python Milky Oolong - A.C. Perch’s Tehandel Gongfu tea - Wikipedia How to Brew Tea Properly gahjelle (Geir Arne Hjelle) / Repositories Level up your Python skills with our expert-led courses: Modern Python Linting With Ruff Tips for Using the AI Coding Editor Cursor Using the Claude API in Python Support the podcast & join our community of Pythonistas

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show notes

How do you assemble the core pieces of a coding agent? How are developers defining projects through conversation and introspection? This week on the show, Geir Arne Hjelle returns to talk about his recent project to demonstrate how coding agents work under the hood.

Geir Arne was my first guest on this program and has returned often over the years. He’s been exploring how coding agents work and has built a demonstration tool to explain them.

We also discuss how he is using LLM tools in his work. We talk about moving beyond Spec-Driven Development to using tools that help you build architecture documents through thorough questioning sessions.

Course Spotlight: Modern Python Linting With Ruff

Ruff is a blazing-fast, modern Python linter with a simple interface that can replace Pylint, isort, and Black—and it’s rapidly becoming popular.

Topics:

  • 00:00:00 – Introduction
  • 00:01:52 – Codemoo - Demonstrating how coding agents work under the hood
  • 00:06:39 – Exploring Spec-Driven Development
  • 00:09:38 – Breaking into the levels of a harness
  • 00:17:08 – Tool calling
  • 00:24:20 – Being a newbie again
  • 00:29:00 – Designing the progression
  • 00:35:29 – Video Course Spotlight
  • 00:37:01 – What was difficult about the process?
  • 00:41:09 – What tools are you using currently?
  • 00:44:10 – Moving from OpenSpec toward grill-me
  • 00:50:43 – Deciding on which LLM
  • 00:53:49 – garuff: Opinionated Python linter rules for coding agents
  • 00:58:00 – Offsetting atrophy with code challenges
  • 01:01:56 – What are you excited about in the world of Python?
  • 01:04:01 – What do you want to learn next?
  • 01:05:55 – How can people follow your work online?
  • 01:06:23 – Thanks and goodbye

Show Links:

Level up your Python skills with our expert-led courses:

Support the podcast & join our community of Pythonistas

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