update contributing docs

docs/docs/contributing.md

@@ -41,12 +41,15 @@ Fork [blakeblackshear/frigate-hass-integration](https://github.com/blakeblackshe
 ### Setup
 
 #### 1. Build the docker container locally with the appropriate make command
+
 For x86 machines, use `make amd64_frigate`
 
 #### 2. Create a local config file for testing
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 Place the file at `config/config.yml` in the root of the repo.
 
 Here is an example, but modify for your needs:
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 ```yaml
 mqtt:
   host: mqtt
@@ -69,15 +72,22 @@ cameras:
 These input args tell ffmpeg to read the mp4 file in an infinite loop. You can use any valid ffmpeg input here.
 
 #### 3. Gather some mp4 files for testing
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 Create and place these files in a `debug` folder in the root of the repo. This is also where clips and recordings will be created if you enable them in your test config. Update your config from step 2 above to point at the right file. You can check the `docker-compose.yml` file in the repo to see how the volumes are mapped.
 
 #### 4. Open the repo with Visual Studio Code
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 Upon opening, you should be prompted to open the project in a remote container. This will build a container on top of the base frigate container with all the development dependencies installed. This ensures everyone uses a consistent development environment without the need to install any dependencies on your host machine.
 
 #### 5. Run frigate from the command line
-VSCode will start the docker compose file for you and you will be able to see 3 containers listed when running `docker ps`. To run frigate with your modified code, run `docker exec -it frigate /bin/bash` from the command line to get a prompt inside the container. Then run `python3 -m frigate` to start.
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+VSCode will start the docker compose file for you and open a terminal window connected to `frigate-dev`.
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+- Run `python3 -m frigate` to start the backend.
+- In a separate terminal window inside VS Code, change into the `web` directory and run `npm install && npm start` to start the frontend.
 
 #### 6. Teardown
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 After closing VSCode, you may still have containers running. To close everything down, just run `docker-compose down -v` to cleanup all containers.
 
 ## Web Interface