Before you begin, you might want to read [How to contribute to Grafana as a junior dev](https://medium.com/@ivanahuckova/how-to-contribute-to-grafana-as-junior-dev-c01fe3064502) by [Ivana Huckova](https://medium.com/@ivanahuckova).
Once `yarn start` has built the assets, it will continue to do so whenever any of the files change. This means you don't have to manually build the assets whenever every time you change the code.
Build and run the backend by running `make run` in the root directory of the repository. This command compiles the Go source code and starts a web server.
The Grafana backend includes Sqlite3 which requires GCC to compile. So in order to compile Grafana on Windows you need to install GCC. We recommend [TDM-GCC](http://tdm-gcc.tdragon.net/download).
The end to end tests in Grafana use [Cypress](https://www.cypress.io/) to run automated scripts in a headless Chromium browser. Read more about our [e2e framework](/contribute/style-guides/e2e.md).
By now, you should be able to build and test a change you've made to the Grafana source code. In most cases, you need to add at least one data source to verify the change.
Run the `setup.sh` script to set up a set of data sources and dashboards in your local Grafana instance. The script creates a set of data sources called **gdev-\<type\>**, and a set of dashboards located in a folder called **gdev dashboards**.
Some of the data sources require databases to run in the background.
Installing and configuring databases can be a tricky business. Grafana uses [Docker](https://docker.com) to make the task of setting up databases a little easier. Make sure you [install Docker](https://docs.docker.com/docker-for-mac/install/) before proceeding to the next step.
In the root directory of your Grafana repository, run the following command:
```
make devenv sources=influxdb,loki
```
The script generates a Docker Compose file with the databases you specify as `sources`, and runs them in the background.
See the repository for all the [available data sources](/devenv/docker/blocks). Note that some data sources have specific Docker images for macOS, e.g. `prometheus_mac`.
The resulting image will be tagged as grafana/grafana:dev.
**Note:** If you've already set up a local development environment, and you're running a `linux/amd64` machine, you can speed up building the Docker image:
1. Build the frontend: `go run build.go build-frontend`.
1. Build the Docker image: `make build-docker-dev`.
**Note:** If you are using Docker for macOS, be sure to set the memory limit to be larger than 2 GiB. Otherwise `grunt build` may fail. The memory limit settings are available under **Docker Desktop** -> **Preferences** -> **Advanced**.
Are you having issues with setting up your environment? Here are some tips that might help.
### Too many open files when running `make run`
Depending on your environment, you may have to increase the maximum number of open files allowed.
To see how many open files are allowed, run:
```
ulimit -a
```
To change the number of open files allowed, run:
```
ulimit -S -n 2048
```
The number of files needed may be different on your environment. To determine the number of open files needed by `make run`, run:
```
find ./conf ./pkg ./public/views | wc -l
```
Another alternative is to limit the files being watched. The directories that are watched for changes are listed in the `.bra.toml` file in the root directory.
- Learn how to [Create a pull request](/contribute/create-pull-request.md).
- Read [How to contribute to Grafana as a junior dev](https://medium.com/@ivanahuckova/how-to-contribute-to-grafana-as-junior-dev-c01fe3064502) by [Ivana Huckova](https://medium.com/@ivanahuckova).