Design diagrams often become obsolete the moment they are finished because code changes faster than you can make a diagram. This session introduces a streamlined workflow to ensure your documentation stays in sync with your codebase by making diagrams from code using docstrings. Since docstrings live alongside your code, they are the source material for architectural depictions in diagrams.

We will demonstrate how to use built-in Python tools to extract information directly from your code. You will see a live walkthrough of a script that sends this information to AI, then translates English descriptions into structured diagram code. Whether you are mapping a single function or an entire library, this approach eliminates the burden of manual diagram creation. You will leave with a practical script and prompt templates to start generating living diagrams for your projects right away.

Key Takeaways: Automated Extraction: Learn how to pull signatures and docstrings without executing code. AI Interpretation: Use succinct prompts to convert code intent into visual formats like PlantUML. Smart Filtering: Teach AI to distinguish between critical system flows and minor utility functions. Instant Rendering: Generate professional SVG or PNG images with zero manual drawing.