How I Structured the 42-Topic Examples Library

Why This Needed Structure

The examples directory in agentic_assistants grew quickly. Once I crossed a handful of demos, the old pattern of "drop another script in a folder" stopped being useful. Readers could not tell which file solved which problem, and I kept re-explaining the same setup steps.

The shift was to treat examples as a library, not a dumping ground. The examples/library/README.md now defines 42 topic areas, grouped by concern: data modeling, orchestration, deep learning, evaluation, synthetic data, and observability.

What Changed

A major update expanded the library into clearly named domains such as:

• pydantic_models/ for schema and validation patterns
• langgraph_workflows/ and crewai_patterns/ for orchestration styles
• pytorch_foundations/, transformers_hub/, and unsloth_finetuning/ for model work
• mlflow_tracking/, airflow_workflows/, dvc_versioning/ for MLOps

That update turned examples into something searchable and teachable. I can now point directly to one folder for one concept instead of asking readers to reverse engineer intent.

The Design Rule That Helped Most

Every script is self-contained and runnable. The README sets a consistent contract:

pip install "agentic-assistants[library]"
python examples/library/langgraph_workflows/basic_state_graph.py

This is simple, but it matters. If examples need hidden setup, they are no longer examples, they are mini-projects.

Why I Kept Library And Starters Separate

I intentionally split examples/library/ and examples/starters/.

• Library = focused patterns, usually one file, one concept.
• Starters = opinionated project skeletons with config, runtime flow, and docs.

That separation avoids a common OSS failure mode where beginner snippets and full project templates become indistinguishable.

What I Learned

Three things made the difference:

1. Explicit taxonomy beats clever naming. Folder names are boring on purpose.
2. Runnable-by-default examples reduce support load. Fewer "it does not run" issues.
3. A central README acts as a map. Without it, examples do not compound into a learning path.

Practical Takeaway

If your repo has more than 10 examples, stop and design an example system before adding more. The 42-topic map in examples/library/README.md is less about quantity and more about preserving clarity as scope grows.

Related Reading

• /posts/building-agentic-assistants/
• /posts/local-rag-coding-assistant/
• /posts/multi-agent-crewai-langgraph/