diff --git a/docs/source/en/index.md b/docs/source/en/index.md
index ce0ffc7db0512f..aaff45ab65dfb6 100644
--- a/docs/source/en/index.md
+++ b/docs/source/en/index.md
@@ -19,7 +19,7 @@ State-of-the-art Machine Learning for [PyTorch](https://pytorch.org/), [TensorFl
 
 🤗 Transformers provides APIs and tools to easily download and train state-of-the-art pretrained models. Using pretrained models can reduce your compute costs, carbon footprint, and save you the time and resources required to train a model from scratch. These models support common tasks in different modalities, such as:
 
-📝 **Natural Language Processing**: text classification, named entity recognition, question answering, language modeling, summarization, translation, multiple choice, and text generation.<br>
+📝 **Natural Language Processing**: text classification, named entity recognition, question answering, language modeling, code generation, summarization, translation, multiple choice, and text generation.<br>
 🖼️ **Computer Vision**: image classification, object detection, and segmentation.<br>
 🗣️ **Audio**: automatic speech recognition and audio classification.<br>
 🐙 **Multimodal**: table question answering, optical character recognition, information extraction from scanned documents, video classification, and visual question answering.