diff --git a/docs/source/backend/reduction_codegen.md b/docs/source/backend/reduction_codegen.md
index 360c692568ada1147b99ef7c829ab6cdc9af02fa..f08fa980a9050cacd7bbccad505cadde350dcd9c 100644
--- a/docs/source/backend/reduction_codegen.md
+++ b/docs/source/backend/reduction_codegen.md
@@ -114,9 +114,3 @@ You can find more detailed information about warp size alignment in {ref}`gpu_co
     ps.inspect(kernel_gpu_opt)
 ```
 
-:::{admonition} Developers To Do:
-
-- Support for HIP platforms
-- Support vectorization using NEON intrinsics
-:::
-
diff --git a/docs/source/user_manual/reductions.md b/docs/source/user_manual/reductions.md
index 6af0e8580f215f8b205e3250e65ec482870b4523..0b0c04279e34f0919d69beff83ec184f5c0cef61 100644
--- a/docs/source/user_manual/reductions.md
+++ b/docs/source/user_manual/reductions.md
@@ -122,8 +122,3 @@ Since our reduction result is a single scalar value, it is sufficient to set up
 
 For GPU platforms, the concepts remain the same but the fields and the write-back pointer now require device memory, 
 i.e. instances of {any}`cupy.ndarray`.
-
-:::{admonition} Developers To Do:
-
-- Support for higher-order data types for reductions, e.g. vector/matrix reductions
-:::