README.md

@@ -32,8 +32,6 @@ Please see https://pocketpy.dev for details and try the following resources.
 + [Live Python Demo](https://pocketpy.dev/static/web/): Run Python code in your browser
 + [Live C Examples](https://pocketpy.github.io/examples/): Explore C-APIs in your browser
 + [Godot Extension](https://github.com/pocketpy/godot-pocketpy): Use pocketpy in Godot Engine
-+ [VSCode Extension](https://marketplace.visualstudio.com/items?itemName=pocketpy.pocketpy): Debug and profile pocketpy scripts in VSCode
-+ [Flutter Plugin](https://pub.dev/packages/pocketpy): Use pocketpy in Flutter apps
 
 ## Supported Platforms
 

docs/features/debugging.md

@@ -1,11 +1,24 @@
 ---
 icon: dot
 title: Debugging
-order: 80
 ---
 
-## VSCode Extension
+!!!
+This feature is not available in `v2.0` yet.
+!!!
 
-You can install our VSCode extension to debug pocketpy scripts.
+You can invoke `breakpoint()` in your python code to start a PDB-like session.
 
-https://marketplace.visualstudio.com/items?itemName=pocketpy.pocketpy
+The following commands are supported:
+
++ `h, help`: show this help message
++ `q, quit`: exit the debugger
++ `n, next`: execute next line
++ `s, step`: step into
++ `w, where`: show current stack frame
++ `c, continue`: continue execution
++ `a, args`: show local variables
++ `l, list`: show lines around current line
++ `ll, longlist`: show all lines
++ `p, print <expr>`: evaluate expression
++ `!, execute statement`: execute statement

docs/features/profiling.md

@@ -1,23 +0,0 @@
----
-icon: dot
-title: Profiling
-order: 79
----
-
-To profile your pocketpy program, you can run `main.exe` with `--profile` flag.
-
-For example, to profile `test/test_math.py`, run
-
-```
-main.exe --profile test/test_math.py
-```
-
-This will output a JSON report file named `profile_report.json` in the current directory,
-which records the time spent for each line. To visualize the report, please install our VSCode extension.
-
-https://marketplace.visualstudio.com/items?itemName=pocketpy.pocketpy
-
-With pocketpy VSCode extension, press `F1` and type `pocketpy: Load Line Profiler Report`,
-select **1. the `profile_report.json` file; 2. the source root of the program**. Then you will see a nice visualization of the profiling result.
-
-![lp](../static/profiler_demo.png)

docs/index.md

@@ -13,7 +13,6 @@ Developers are able to write Python bindings via C-API or pybind11 compatible in
 + [Live Python Demo](https://pocketpy.dev/static/web/): Run Python code in your browser
 + [Live C Examples](https://pocketpy.github.io/examples/): Explore C-APIs in your browser
 + [Godot Extension](https://github.com/pocketpy/godot-pocketpy): Use pocketpy in Godot Engine
-+ [VSCode Extension](https://marketplace.visualstudio.com/items?itemName=pocketpy.pocketpy): Debug and profile pocketpy scripts in VSCode
 + [Flutter Plugin](https://pub.dev/packages/pocketpy): Use pocketpy in Flutter apps
 
 ## What it looks like