### Tested
-* 100% test coverage (* not yet, in a couple days).
-* 100% type annotated code base.
-<!-- * Used in production applications -->
+* 100% <abbr title="The amount of code that is automatically tested">test coverage</abbr> (* not yet, in a couple days).
+* 100% <abbr title="Python type annotations, with this your editor and external tools can give you better support">type annotated</abbr> code base.
+* Used in production applications.
## Starlette features
* **No brainfuck**:
* No new schema definition micro-language to learn.
* If you know Python types you know how to use Pydantic.
-* Plays nicely with your **IDE/linter/brain**:
+* Plays nicely with your **<abbr title="Integrated Development Environment, similar to a code editor">IDE</abbr>/<abbr title="A program that checks for code errors">linter</abbr>/brain**:
* Because pydantic data structures are just instances of classes you define; auto-completion, linting, mypy and your intuition should all work properly with your validated data.
* **Fast**:
* in <a href="https://pydantic-docs.helpmanual.io/#benchmarks-tag" target="_blank">benchmarks</a> Pydantic is faster than all other tested libraries.
This will be the main point of interaction to create all your API.
-This `app` is the same one referred by `uvicorn` in thet command:
+This `app` is the same one referred by `uvicorn` in the command:
```bash
uvicorn main:app --debug