Applying Layered Architecture to a Massive Python Backend Project

This article explains how a Python team managing a codebase of nearly 28,000 modules introduced a layered architecture, enforced it with Import Linter, tracked technical debt, and discusses the benefits and drawbacks of such a structure for large‑scale backend development.

Backend DevelopmentTechnical Debtcode organization

0 likes · 13 min read

Applying Layered Architecture to a Massive Python Backend Project

MaGe Linux Operations

Aug 16, 2023 · Fundamentals

How Layered Architecture Keeps a 30K‑File Python Codebase Manageable

This article explains how a massive Python project with nearly 30,000 files uses a layered architecture and Import Linter to enforce dependency rules, reduce complexity, track technical debt, and improve maintainability, while also discussing the trade‑offs and practical implementation details.

PythonSoftware Architecturecode organization

0 likes · 15 min read

How Layered Architecture Keeps a 30K‑File Python Codebase Manageable

21CTO

Aug 11, 2023 · Backend Development

How Layered Architecture Keeps a 28K‑File Python Monolith Manageable

This article explains how a massive Python codebase with over 27,000 modules is organized using a layered architecture, enforced with Import Linter, to reduce complexity, track technical debt, and enable independent development across clients and territories.

PythonTechnical Debtcode organization

0 likes · 14 min read

How Layered Architecture Keeps a 28K‑File Python Monolith Manageable