Creating a Brainrot Language Server in Golang
I was reading the language server protocol docs and about json-rpc for collaborating on a new project which will need an LSP server. Since it was getting a little boring to just read so much of documentations and RFCs, I thought of making a small and fun project around LSPs.
What’s an LSP?
The Language Server Protocol (LSP) is a game-changer in how we build development tools. Before Microsoft created LSP for VS Code, each editor (like Vim, Emacs, Sublime) needed to implement language support separately for each programming language. Microsoft’s decision to make LSP open source and editor-agnostic meant that one language server could now work with any LSP-compatible editor, making it more efficient for the community and providing consistent experiences across different editors.
LSP defines a protocol for common features like:
- Code completion
- Hover information
- Go to definition
- Find all references
- Symbol search
- Formatting
- Refactoring
On a high level this is how an LSP works:
Now, you can write one language server that works with any LSP-compatible editor. The language server runs as a separate process and communicates with the editor through JSON-RPC messages.
Why did I use Golang?
I’m going to be honest here – I didn’t choose Go because of some grand technical reasons about performance or concurrency. The truth is much simpler: Go just clicked with me.
When I started learning Go in August this year, I wasn’t expecting much. Microsoft created LSP, so JavaScript would have been the obvious choice, especially with the extensive TypeScript LSP examples out there. But Go has this way of growing on you.
What made me stick with Go for this project?
It’s Refreshingly Simple: No class inheritance hierarchies to wrestle with, no complex type systems to navigate. Just structs, interfaces, and straightforward functions. When you’re trying to understand something as complex as LSP, this simplicity is a blessing.
The Standard Library is Your Friend: Need to handle JSON?
encoding/json
is right there. Want to work with streams?io
has your back. No need to dive into npm looking for the right package.Clear Error Handling: Yes, some people hate the
if err != nil
pattern, but when you’re debugging why your language server isn’t responding, explicit error handling is actually pretty nice.Fast Iteration: Write code, run
go build
, test. No build configs, no transpilation, no bundling. For a project where you’re constantly testing with different editors, this quick feedback loop is invaluable.
Could I have built this in JavaScript/TypeScript? Absolutely. Would it have worked just as well? Probably. But sometimes you pick a tool not because it’s the “best” choice, but because it makes the development process enjoyable. For me, that tool happened to be Go.
The Brainrot Language Server
For this project, I decided to create something fun: a language server that helps you write in peak internet slang. It provides snippets and completions for creating social media style posts, rants, and reactions.
Setting up the project
First, let’s create our project structure:
mkdir brainrot-lsp
cd brainrot-lsp
go mod init github.com/yourusername/brainrot-lsp
We’ll use the glsp
library for LSP implementation:
go get github.com/tliron/glsp
Project Structure
Our project follows this structure:
brainrot-lsp
├── go.mod
├── go.sum
├── handlers
│ └── completionHandler.go
├── main.go
└── mappers/
├── brainrotMapper.go
└── snippets.go
Implementing the Core
Let’s look at the main server implementation: Intialize and shutdown are two of the mandatory LSP lifecycle methods. Fortunately, glsp has took care of the heavy lifting for us by providing an elegant protocol.Handler
struct.
package main
import (
"github.com/Jitesh117/brainrot-lsp/handlers"
"github.com/tliron/commonlog"
"github.com/tliron/glsp"
protocol "github.com/tliron/glsp/protocol_3_16"
"github.com/tliron/glsp/server"
_ "github.com/tliron/commonlog/simple"
)
const lsName = "Brainrot Autocomplete Language Server"
var (
version string = "0.0.1"
handler protocol.Handler
)
func main() {
commonlog.Configure(2, nil)
handler = protocol.Handler{
Initialize: initialize,
Shutdown: shutdown,
TextDocumentCompletion: handlers.TextDocumentCompletion,
}
server := server.NewServer(&handler, lsName, true)
server.RunStdio()
}
func initialize(context *glsp.Context, params *protocol.InitializeParams) (any, error) {
commonlog.NewInfoMessage(0, "Initializing Brainrot server...")
capabilities := handler.CreateServerCapabilities()
trueVar := true
capabilities.CompletionProvider = &protocol.CompletionOptions{
ResolveProvider: &trueVar,
}
return protocol.InitializeResult{
Capabilities: capabilities,
ServerInfo: &protocol.InitializeResultServerInfo{
Name: lsName,
Version: &version,
},
}, nil
}
func shutdown(context *glsp.Context) error {
return nil
}
The Fun Part: Autocomplete and Snippets
The heart of our LSP is the snippet system. We define templates for various social media scenarios:
package mappers
type BrainrotEntry struct {
Term string
Description string
}
var BrainrotMapper = map[string]BrainrotEntry{
"yes": {"ongod frfr 💯🔥", "An enthusiastic affirmation, absolutely true."},
"no": {"nah fam 🚫🙅", "Casual denial or rejection."},
// SIMILAR BRAINROT SLANGS
}
var CodeSnippets = map[string]CodeSnippet{
"#story": {
Body: "no cap frfr ${1:name} was ${2:activity} and suddenly 💀 ${3:unexpected_event} happened ong\neveryone was like sheeeesh 😱",
Description: "Generate a dramatic story template",
},
"#rant": {
Body: "NAH FR THO 😤 ${1:topic} is actually WILD 💯 like how are people even ${2:action} fr⁉️",
Description: "Create a passionate rant template",
},
// ... MORE SNIPPETS
}
Completion Handler
The completion handler brings our snippets to life:
package handlers
import (
"fmt"
"github.com/Jitesh117/brainrot-lsp/mappers"
_ "github.com/tliron/commonlog/simple"
"github.com/tliron/glsp"
protocol "github.com/tliron/glsp/protocol_3_16"
)
func TextDocumentCompletion(
context *glsp.Context,
params *protocol.CompletionParams,
) (interface{}, error) {
var completionItems []protocol.CompletionItem
// FOR AUTOCOMPLETE BRAINROT
for word, entry := range mappers.BrainrotMapper {
term := entry.Term
description := entry.Description
detail := fmt.Sprintf("%s\n%s", term, description)
completionItems = append(completionItems, protocol.CompletionItem{
Label: word,
Detail: &detail,
InsertText: &term,
})
}
// FOR SNIPPETS
for label, snippet := range mappers.CodeSnippets {
insertText := snippet.Body
detail := snippet.Description
kind := protocol.CompletionItemKindSnippet
textFormat := protocol.InsertTextFormatSnippet
completionItems = append(completionItems, protocol.CompletionItem{
Label: label,
Detail: &detail,
InsertText: &insertText,
Kind: &kind,
InsertTextFormat: &textFormat,
})
}
return completionItems, nil
}
Now run go mod tidy
to install any missing packages used.
Using the Language Server
To use the server in VSCode, create a client extension or use an existing LSP client. But if you use neovim(btw), you can just add this to your current neovim session:
vim.lsp.start({
name = "brainrot-lsp",
cmd = { "./bin/brainrot-lsp" },
root_dir = vim.fn.getcwd(),
})
Then run the command :source <filename>.lua
. After this the language server should be working now.
And if you want to add it to your neovim config for global usage. You can add this to your config’s init.lua
file:
local function start_brainrot_lsp()
local filetype = vim.bo.filetype
if filetype == "text" or filetype == "markdown" then
vim.lsp.start {
name = "brainrot-lsp",
cmd = { "path-to/brainrot-lsp" },
root_dir = vim.fn.getcwd(),
}
end
end
vim.api.nvim_create_autocmd("BufEnter", {
pattern = "*",
callback = start_brainrot_lsp,
})
Now you can type story
and get a template like:
no cap frfr John was studying and suddenly 💀 a ghost appeared happened ong
everyone was like sheeeesh 😱
Future Improvements
This is only a basic language server. We’d need to add more stuff to it to make it “production grade”. Some features we could add:
- Emoji suggestions based on context
- Auto-capitalization for emphasis
- Code actions
Conclusion
Building an LSP might seem daunting, but Go and modern libraries make it approachable. This fun project shows how LSP can enhance any text editing experience, even if it’s just helping you write more brainrot slangs lol.
The full code is available on GitHub. Feel free to contribute and make it even more 🔥!
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