Update README.md

README.md

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 **Note: This is the development version of unitgrade. If you are a student, please see http://gitlab.compute.dtu.dk/tuhe/unitgrade.**
 
 Unitgrade is an automatic report and exam evaluation framework that enables instructors to offer automatically evaluated programming assignments. 
- Unitgrade is build on pythons `unittest` framework so that the tests can be specified in a familiar syntax and will integrate with any modern IDE. What it offers beyond `unittest` is the ability to collect tests in reports (for automatic evaluation) and an easy and 100% safe mechanism for verifying the students results and creating additional, hidden tests. A powerful cache system allows instructors to automatically create test-answers based on a working solution. 
+
+## Why not <insert alternative online framework here>?
+I think the most important thing to ask from an automatic evaluation framework is that it helps the students become better programmers. 
+Automatic evaluation frameworks are fundamentally about testing code. We know testing works, but we also know that not all ways of doing tests are equally good. Online testing has several clear disadvantages:
+
+ - You need to upload code and often press to see output
+ - No debugger
+ - Often encourage/requires coding in the browser, i.e. without IDE support
+ - They are often constraining, meaning problems must be phrased in a less than optimal way to suit the evaluation framework
+
+For these reasons, we would never accept an online evaluation tool as a testing tool -- so why should we ask that of students?
+
+Unitgrade is different because it is build on pythons `unittest` framework. This means tests are specified simply as unittests and will integrate with any modern IDE. What it offers beyond `unittest` is the ability to collect tests in reports (for automatic evaluation) and an easy and 100% safe mechanism for verifying the students results and creating additional, hidden tests. A cache system allows instructors to automatically create test-answers based on a working solution. 
 
  - 100% Python `unittest` compatible
  - No configuration files
@@ -548,4 +560,4 @@ and TAs can choose to annotate the students code directly in Autolab -- we are h
 	author={Tue Herlau},
 	year={2021},
 }
-```
+```
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