Episodes

  • Codemoo: Demonstrating How Coding Agents Work

    Codemoo: Demonstrating How Coding Agents Work
    Oct 9 2026
    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.
    Show More Show Less
    1 hr and 7 mins
  • Python 3.15: Exploring the New Features

    Python 3.15: Exploring the New Features
    Oct 2 2026
    Python 3.15 is (almost*) here! Christopher Trudeau and Bartosz Zaczyński return to discuss the new version. Bartosz coordinated the series of preview articles with members of the Real Python team and wrote the showcase tutorial, "Python 3.15: Cool New Features for You to Try." Christopher's video course "What's New in Python 3.15" covers the topics from the article and shows the new features in action.
    Show More Show Less
    44 mins
  • Navigating AI in Open Source: Insights From Wagtail

    Navigating AI in Open Source: Insights From Wagtail
    Sep 25 2026
    How should you manage AI contributions to an open-source project? How do you measure the impact of using AI tools for development, and what generative features do end users want from a content management system? This week on the show, we speak with Thibaud Colas and Meagen Voss from Wagtail about the complex considerations software organizations are currently facing.
    Show More Show Less
    1 hr and 8 mins
  • Django Developers Survey Results & Reproducible Python Builds

    Django Developers Survey Results & Reproducible Python Builds
    Sep 11 2026
    What are the latest trends uncovered in the 2026 Django Developers Survey? How are Django users employing LLMs in their development process? Christopher Trudeau is back on the show this week with another batch of PyCoder's Weekly articles and projects.
    Show More Show Less
    47 mins
  • Performance Engineering: Profiling and Making Apps Fast by Default

    Performance Engineering: Profiling and Making Apps Fast by Default
    Sep 4 2026
    How do you plan for the performance of your Python applications? What does a performance budget entail, and where should you spend your resources? This week on the show, we speak with Den Odell about his new book "Fast by Default: Practical Performance Engineering."
    Show More Show Less
    1 hr and 17 mins
  • Exploring Complex Systems & Maintainable Data Science Pipelines

    Exploring Complex Systems & Maintainable Data Science Pipelines
    Aug 28 2026
    What are the key characteristics of complex systems, and what are practical patterns for tackling complex coding problems? Christopher Trudeau is back on the show this week with another batch of PyCoder's Weekly articles and projects.
    Show More Show Less
    41 mins
  • Navigating Silent Failures in AI: Strategies for Effective Oversight

    Navigating Silent Failures in AI: Strategies for Effective Oversight
    Aug 21 2026
    Why do AI systems silently fail? How can you set up a system that produces results while also reviewing and validating the work? This week on the show, Calvin Hendryx-Parker returns to discuss his recent talk "Orchestrate Agentic AI: Context, Checklists, and No-Miss Reviews."
    Show More Show Less
    1 hr and 10 mins
  • Improving NumPy Performance on Free-Threaded Python

    Improving NumPy Performance on Free-Threaded Python
    Aug 14 2026
    What bottlenecks were preventing NumPy from scaling on free-threaded Python? Christopher Trudeau is back on the show this week with another batch of PyCoder's Weekly articles and projects.
    Show More Show Less
    46 mins