Published 13 Feb 2026
Duration: 2216
A podcast discusses applying Clean Architecture principles to Python development to manage dependencies and write clean, testable code.
This interview was recorded for the GOTO Book Club. http://gotopia.tech/bookclub Check out more here: https://gotopia.tech/episodes/418 Sam Keen - Fou...
The podcast covers Sam Keaton's book on Clean Architecture in Python, which focuses on managing dependencies in large, long-term codebases to avoid technical debt. The approach emphasizes applying architectural principles rather than relying on strict frameworks, taking advantage of Python's simplicity and pragmatic style. It utilizes Python-specific tools such as ABCs and protocols to structure code effectively and introduces a four-layer architecture: core domain, application, adoption, and framework. The book promotes the "strict inside, flexible outside" principle, which helps maintain clean and testable code by isolating domain logic from external dependencies.
To aid understanding, the book includes a companion to-do app available on GitHub, along with practical examples that demonstrate the concepts without overcomplicating the implementation. The discussion also addresses how clean architecture improves testability, reduces the need for extensive integration tests, and supports the test pyramid concept by emphasizing unit and component tests. Furthermore, the podcast considers the evolving role of AI in software development, suggesting a collaborative model where AI assists with boilerplate code while humans concentrate on domain modeling and architecture, reinforcing that deep domain understanding is essential for creating valuable software.
15 May 2026 Tech Truth: Teaching Kids to Code with Sonic Pi Sam Aaron & James Lewis
A blend of personal programming and music journeys, technical challenges in concurrency and tool development, Sonic Pi's educational impact, and reflections on AI's role versus human creativity in art and code.
12 May 2026 Toad: Your AI Coding Agent Deserves a Better User Interface Will McGugan & Olimpiu Pop
Explores modernizing terminal-based development with open-source tools like *Rich* and *Textual*, introduces *Toad* for polished AI-powered terminal interfaces, and addresses challenges in blending AI with traditional commands, token costs, context management, and external agent integration.
8 May 2026 Java Cookbook Ian Darwin & Jeanne Boyarsky
Java's evolution through features like Records and Switch Expressions, career transitions from Fortran, integration with R for data analysis, AI's role in coding, structured learning resources, open-source contributions, and concerns about AI's impact on education and intellectual property are explored.
A deep dive into microservices challenges, server-driven contract testing via Spring Cloud Contract, AI-driven contract generation with human oversight, observability strategies, and balancing automation with foundational knowledge and community feedback to avoid tooling pitfalls.
1 May 2026 Learning API Styles Lukasz Dynowski & Sam Newman
This exploration of API design delves into networking fundamentals, communication paradigms, protocol mechanics, trade-offs in security and performance, data formats, microservices communication patterns, emerging technologies like Web Transport and gRPC, and the critical role of secure, documented, and reproducible frameworks aligned with architectural and use-case demands.