Add dev quick start guide

docs/glossary.md

@@ -73,6 +73,9 @@ self-supervised learning
 supervised learning
 : A machine learning training method in which a model is trained on a labeled dataset to make predictions on new data.
 
+task
+: A machine learning task that includes one or multiple implementations to perform a prediction or inference. For example: a `sample` task can have a `sample implementation` and a `list implementation`. All the implementations within a task will have a common protobuf definition for their request and response, ex: `SampleTaskRequest` and `SampleOutputType`. We generate inference service rcps per task, not per implementation.
+
 token
 : A discrete unit of meaning or analysis in a text, such as a word or subword (part of a word).
 

docs/quickstart.md

@@ -0,0 +1,17 @@
+---
+layout: default
+title: Dev Quick Start Guide
+nav_order: 7
+---
+
+# Dev Quick Start Guide
+{: .no_toc }
+
+This document describes how to quickly get a runtime server built with `sample_lib` library, train a model with gRPC and with that trained model, send an inference call to the server with either HTTP or gRPC call.
+
+## Pre-reqs
+To set up development environment and tooling, the [Development Guide]({{ site.baseurl }}{% link docs/developing.md %}) page is a good place to start.
+
+## Start Guide
+
+See https://github.com/caikit/caikit/blob/main/examples/sample_lib/README.md for step by step details on how to get running with a `sample_lib` server and interacting with it.