diff --git a/docs/start/install.md b/docs/start/install.md
index afdc2cb04..c619c20ce 100644
--- a/docs/start/install.md
+++ b/docs/start/install.md
@@ -36,7 +36,7 @@ pip install -e "python[all]"
 
 Note: SGLang currently uses torch 2.6, so you need to install flashinfer for torch 2.6. If you want to install flashinfer separately, please refer to [FlashInfer installation doc](https://docs.flashinfer.ai/installation.html).
 
-If you want to develop SGLang, it is recommended to use docker. Please refer to [setup docker container](https://github.com/sgl-project/sglang/blob/main/docs/developer/development_guide_using_docker.md#setup-docker-container) for guidance. The docker image is `lmsysorg/sglang:dev`.
+If you want to develop SGLang, it is recommended to use docker. Please refer to [setup docker container](https://github.com/sgl-project/sglang/blob/main/docs/references/development_guide_using_docker.md#setup-docker-container) for guidance. The docker image is `lmsysorg/sglang:dev`.
 
 Note: For AMD ROCm system with Instinct/MI GPUs, do following instead:
 
diff --git a/sgl-kernel/README.md b/sgl-kernel/README.md
index 70e99f82c..a57ab9864 100644
--- a/sgl-kernel/README.md
+++ b/sgl-kernel/README.md
@@ -62,7 +62,7 @@ CMAKE_BUILD_PARALLEL_LEVEL=$(nproc) python -m uv build --wheel -Cbuild-dir=build
 
 ## Development Environment Setup
 
-Use Docker to set up the development environment. See [Docker setup guide](https://github.com/sgl-project/sglang/blob/main/docs/developer/development_guide_using_docker.md#setup-docker-container).
+Use Docker to set up the development environment. See [Docker setup guide](https://github.com/sgl-project/sglang/blob/main/docs/references/development_guide_using_docker.md#setup-docker-container).
 
 Create and enter development container:
 ```bash