Spaider

AI code assistant that crawls your codebase to answer questions and implement changes.

Open source models often fail to use tools / function calling in a reliable manner.

Spaider uses structured outputs and deterministic workflows to ensure consistency and thorough implementation.

This is a working proof of concept.

For now it works with TS/JS projects only.

Usage

``bash


Make sure you have rg installed

brew install ripgrep

Go to your project

cd project/

Add env vars

export OPENAI_BASE_URL=https://api.infomaniak.com/1/ai
export OPENAI_MODEL=llama3
export OPENAI_API_KEY=your_api_key

Install globally

npm i -g spaider@latest

Ask question

spaider -p "What is this project about?"

Ask for modification

spaider -p "Add a comment to explain this function" -f src/auth.ts
`

CLI Options:

- -p, --prompt : The request/prompt for the AI assistant
- -f, --files : Initial files to include in the analysis
- -r, --root : Project root directory (default: current directory)
- -h, --help: Show help message
- -v, --version: Show version information

How It Works

Spaider has a pipeline architecture with conditional steps. It can be easily extended with more functionality and logic.

`ts
const processRequest = pipeline(
generateProjectTree,
readFiles,
parseAST,
analyzeIntent,
{
when: needsMoreContext,
steps: [discoverFiles, readFiles, parseAST],
},
{
when: isAskMode,
steps: [generateAnswer],
},
{
when: isEditMode,
steps: [generateChanges, applyChanges],
}
);
``