A weekly Python podcast hosted by Christopher Bailey with interviews, coding tips, and conversation with guests from the Python community. The show covers a wide range of topics including Python programming best practices, career tips, and related software development topics. Join us every Friday morning to hear what's new in the world of Python programming and become a more effective Pythonista.

Codemoo: Demonstrating How Coding Agents Work

October 09, 2026 1:07:24 11.17 MB ( 54.53 MB less) Downloads: 0

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

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